System for providing dynamic linked panels in user interface

Information

  • Patent Grant
  • 9454281
  • Patent Number
    9,454,281
  • Date Filed
    Monday, August 31, 2015
    9 years ago
  • Date Issued
    Tuesday, September 27, 2016
    8 years ago
Abstract
A computer system may be configured to: execute a first query associated with a first panel; display the first panel in a user interface based on first display settings of the first panel, the first panel displaying at least a portion of the result of the first query, the result of the first query associated with a variable; execute a second query associated with a second panel, wherein the second query refers to the variable associated with the first query; display the second panel in the user interface based on second display settings of the second panel, the second panel displaying at least a portion of the result of the second query; and in response to user input changing the displayed result in the first panel: re-execute the second query; and update the display of the second panel in the user interface based on results of the re-executed second query.
Description
TECHNICAL FIELD

The present disclosure relates to systems and techniques for data integration, analysis, and visualization. More specifically, the present disclosure relates to dynamic linked panels associated with queries performed on data sources and visualization of results of the queries.


BACKGROUND

Organizations and/or companies are producing increasingly large amounts of data. Such data may be queried and presented in a user interface.


SUMMARY

The systems, methods, and devices described herein each have several aspects, no single one of which is solely responsible for its desirable attributes. Without limiting the scope of this disclosure, several non-limiting features will now be discussed briefly.


In one embodiment, a computer system configured to display data from one or more data sources comprises: one or more hardware computer processors configured to execute code in order to cause the system to: generate a user interface configured to display a plurality of panels including a first panel and a second panel, each of the plurality of panels having respective display settings and queries including code for querying one more data sources; execute a first query associated with the first panel; display the first panel in the user interface based on first display settings of the first panel, the first panel displaying at least a portion of the result of the first query, the result of the first query being associated with a variable; execute a second query associated with the second panel, wherein the second query refers to the variable associated with the first query of the first panel; display the second panel in the user interface based on second display settings of the second panel, the second panel displaying at least a portion of the result of the second query; and in response to user input changing the displayed result in the first panel: re-execute the second query associated with the second panel; and update the display of the second panel in the user interface based on results of the re-executed second query of the second panel.


According to certain aspects, the code can be further configured to: receive a third query from the first panel for writing data to the one or more data sources; process one or more parameters in the third query by invoking a function; and perform the third query with the processed one or more parameters to write data to the one or more data sources. The processing of the one or more parameters in the third query may be performed at least in part by: replacing the one or more parameters with respective placeholders; and storing respective values corresponding to the one or more parameters in an array. The processing of the one or more parameters in the third query may be performed at least in part by changing respective values corresponding to the one or more parameters to string format. Each of the plurality of panels can be referenced as a template that is rendered by a template engine, and the function can be registered with the template engine. The code may be further configured to: prior to running the query of the first panel, invoke one or more functions to determine whether a table, a row, or a column referenced in the query exists in the one or more data sources.


In another embodiment, a method of displaying data from one or more data sources comprises: using one or more hardware computer processors: generating a user interface configured to display a plurality of panels including a first panel and a second panel, each of the plurality of panels having respective display settings and queries including code for querying one more data sources; executing a first query associated with the first panel; displaying the first panel in the user interface based on first display settings of the first panel, the first panel displaying at least a portion of the result of the first query, the result of the first query being associated with a variable; executing a second query associated with the second panel, wherein the second query refers to the variable associated with the first query of the first panel; displaying the second panel in the user interface based on second display settings of the second panel, the second panel displaying at least a portion of the result of the second query; and in response to user input changing the displayed result in the first panel: re-executing the second query associated with the second panel; and updating the display of the second panel in the user interface based on results of the re-executed second query of the second panel.


According to certain aspects, the method may further comprise: receiving a third query from the first panel for writing data to the one or more data sources; processing one or more parameters in the third query by invoking a function; and performing the third query with the processed one or more parameters to write data to the one or more data sources. Said processing the one or more parameters in the third query can comprise: replacing the one or more parameters with respective placeholders; and storing respective values corresponding to the one or more parameters in an array. Said processing the one or more parameters in the third query can comprise changing respective values corresponding to the one or more parameters to string format. Each of the plurality of panels may be referenced as a template that is rendered by a template engine, and the function may be registered with the template engine. The method may further comprise: prior to running the query of the first panel, invoking one or more functions to determine whether a table, a row, or a column referenced in the query exists in the one or more data sources.


In some embodiments, a non-transitory compute readable medium comprises instructions for displaying data from one or more data sources that cause a computer processor to: generate a user interface configured to display a plurality of panels including a first panel and a second panel, each of the plurality of panels having respective display settings and queries including code for querying one more data sources; execute a first query associated with the first panel; display the first panel in the user interface based on first display settings of the first panel, the first panel displaying at least a portion of the result of the first query, the result of the first query being associated with a variable; execute a second query associated with the second panel, wherein the second query refers to the variable associated with the first query of the first panel; display the second panel in the user interface based on second display settings of the second panel, the second panel displaying at least a portion of the result of the second query; and in response to user input changing the displayed result in the first panel: re-execute the second query associated with the second panel; and update the display of the second panel in the user interface based on results of the re-executed second query of the second panel.


According to certain aspects, the instructions can be further configured to cause the computer processor to: receive a third query from the first panel for writing data to the one or more data sources; process one or more parameters in the third query by invoking a function; and perform the third query with the processed one or more parameters to write data to the one or more data sources. The processing of the one or more parameters in the third query may be performed at least in part by: replacing the one or more parameters with respective placeholders; and storing respective values corresponding to the one or more parameters in an array. The processing of the one or more parameters in the third query may be performed at least in part by changing respective values corresponding to the one or more parameters to string format. Each of the plurality of panels can be referenced as a template that is rendered by a template engine, and the function can be registered with the template engine. The instructions may be further configured to cause the computer processor to: prior to running the query of the first panel, invoke one or more functions to determine whether a table, a row, or a column referenced in the query exists in the one or more data sources.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 illustrates one embodiment of a user interface comprising dynamic panels for displaying results of queries performed on one or more data sources.



FIGS. 2A-2D illustrate one embodiment of a user interface of a dashboard creation system for creating a dynamic panel.



FIG. 3 is a data flow diagram illustrative of the interaction between the various components of a dashboard creation system configured to create and display dynamic panels, according to one embodiment.



FIG. 3A illustrates one example of linking multiple dynamic panels.



FIG. 4 is a data flow diagram illustrative of the interaction between the various components of a dashboard creation system configured to write to data sources using dynamic panels, according to one embodiment.



FIG. 5 illustrates a flowchart for creating and displaying dynamic panels in a user interface, according to certain embodiments.



FIG. 6 illustrates a flowchart for writing to data sources using dynamic panels, according to certain embodiments.



FIGS. 7A-7C illustrate various examples of panels and features provided by a dashboard creation system, according to certain embodiments.



FIG. 8 illustrates a computer system with which certain methods discussed herein may be implemented.





DETAILED DESCRIPTION

Disclosed herein are various systems and methods for providing a plurality of dynamic panels in a user interface (UI). The dynamic panels (or “panels”) can display different pieces of data from one or more data sources. For example, a query can be run on one or more data sources, and different parts of the result from the query can be output using different dynamic panels. For instance, each dynamic panel can be associated with a variable to output. Different types of dynamic panels can be provided, such as charts (e.g., line chart, bar chart, etc.), controls (e.g., dropdown, multiselect box, search box, etc.), maps, tables, text boxes, etc. The panels can be data source agnostic. For example, the panels can be associated with data from different types of data sources, such as relational databases (e.g., SQL Server), Elasticsearch, etc. In some embodiments, individual panels may each be referred to as “widgets.” In some embodiments, the user interface including multiple panels may be referred to as a “dashboard.”



FIG. 1 illustrates one embodiment of a user interface 100 comprising dynamic panels for displaying results of queries performed on one or more data sources. Panels 110 through 150 are some examples of different types of panels that can be included in the user interface 100. Panel 110 and panel 120 are dropdown control panels; panel 130 is a table panel; panel 140 is a line chart panel; and panel 150 is a bar chart panel. Many different types of panels can be included in the user interface 100, depending on the embodiment. For instance, as explained above, types of panels can include charts, controls, graphs, maps, etc. Examples of chart panels may include a bar chart, line chart, pie chart, scatter plot, etc. Examples of control panels may include a date picker, dropdown control, button (e.g., export button, query button, etc.), input box, multiselect box, slider, text area, timeline, etc. Other examples of panels may include a card, image, link (e.g., hyperlink), list, text, graphs, maps, etc. FIGS. 7A-7C illustrate additional examples of types of panels.


A dynamic panel can be linked to one or more other dynamic panels. As mentioned above, the output of a panel can be used in another panel. When the data of a panel depends or relies on the data of another panel, if the data in the source panel changes, the data in the panel that relies on the source panel may also change or be refreshed. For example, in FIG. 1, an example query obtains data regarding National Football League teams from multiple data sources. Panel 110 can be a dropdown control that selects the team to view. Panel 120 can be a dropdown control that selects the season for which to display the games. Panel 130 can be a table that displays the games for the team selected in panel 110 for the season selected in panel 120. Changes to the selected team in panel 110 or the selected season in panel 120 can update the games displayed in panel 130. In some embodiments, panel 140 and panel 150 display statistics related to the games displayed in panel 130; when games displayed in panel 130 change, panel 140 and panel 150 update accordingly.


The query and the settings relating to the display of particular panels can be managed separately. For example, a user interface can provide a section for entering the query and another section for entering display related settings. Separate management of the query and the display settings can allow the panels to be easily updated within the user interface and allow reuse of queries. The page that contains the panels may be referred to as a “document.”


In this manner, multiple panels can be used to display different aspects of the result from a query. One query can be run to obtain the needed information, and the result can be parsed and displayed using multiple panels. Display of information can be simplified by using multiple panels. Also, the query can be reused across panels since each panel can extract a portion of the result to display. In certain embodiments, each panel may have its own query and display the result of the query. The panels can also be linked together so that the data from one panel can be used to display the data in another panel.


Exemplary User Interface of Dashboard Creation System



FIGS. 2A-2D illustrate one embodiment of a user interface 200 of a dashboard creation system for creating one or more dynamic panels for use in a dashboard. For example, the user interface 200 can provide functionalities for custom styling, query editing and/or previewing, defining query sub-properties, etc. of panels. FIG. 2A illustrates one embodiment of the main page 210 of the user interface 200. FIG. 2B illustrates one embodiment of the query page 220. FIG. 2C illustrates one embodiment of the global variables page 230. FIG. 2D illustrates one embodiment of the document Cascading Style Sheets (CSS) page 240.


Using the main page 210, the user can create, edit, delete, and manage one or more panels. In one embodiment, the main page 210 includes a top section 211 that displays the name of the document selected, if any; links to the query page 220 (FIG. 2B), the global variables page 230 (FIG. 2C), and the document CSS page 240 (FIG. 2D); and various icons for creating panels and for other features. The main page 210 also includes a panels section 212 that displays the list of panels included in the document. The main page 210 includes a design section 213 where the user can create, organize, and edit panels. In the example of FIG. 2A, the user creates Document 1, which contains panels p1, p2, p3, etc. A panel can be referred to by its name, and the name of the panel can be displayed when the cursor is over a particular panel. For illustrative purposes, certain items in design section 213 are marked with dashed lines to indicate that they are panels; for example, the slider in the top right corner of design section 213 is a panel. Four blocks at the bottom of design section 213 (listing company name and dollar value) are also examples of panels; these panels are shown in solid lines because they have borders.


Moving to FIG. 2B, the query page 220 allows the user to enter a query. For example, a query can be associated with a panel. The example query page 220 may appear when the user clicks on the link to the query page 220 on the main page 210 (FIG. 2A). The query page 220 can display a list of queries 221, for example, stored queries in a database (e.g., template storage 355, 455 in FIGS. 3 and 4). In some embodiments, a query may be reused in other documents. For example, the user can select a query from the list of queries or create a new query. In the example of FIG. 2B, the query page includes a button for adding a new query. The query page 220 can include a code section 222 for entering the query and a preview section 223 for previewing results of execution of the query in code section 222. The user may update or delete a query from the query page 220. The example query in FIG. 2B relates to the panel shown in FIG. 7C and updates the data source(s) to reflect availability of individual squares or cards and to add information relating to the squares or cards (e.g., insert username, time, etc.).



FIG. 2C illustrates the global variables page 230, which allows the user to define global variables associated with a document and/or a panel. The global variables can be referred to by the panels in the document. In addition, the user may also define variables associated with a panel. The variables can be used to link two or more panels together. For instance, the query for a panel may reference a variable in one or more other panels. The panels may be linked in the sense that when the data in a particular linked panel updates, the data in the panels that reference the particular panel also updates. The global variables page 230 can appear when the user clicks on the link to the global variables page 230 on the main page 210 (FIG. 2A). The global variables page 230 can be a pop-up window as illustrated in FIG. 2C or a separate page, for example, like the query page 220. In the example of FIG. 2C, the global variables page 230 shows two variables “options” and “strike.” In some embodiments, a global variable is defined for a panel. The panel global variable may be referenced using the format “<panel name>.<global variable name>.” For example, if “options” variable is associated with panel p1, and the user can refer to “options” variable as “p1.options.” The panel global variables may also be used to link two or more panels together. In some embodiments, global variables may be used to link two or more panels. In one embodiment, global variables may be referred to in a uniform resource locator (URL). The global variables may be modified by changing the values associated with the global variables in the URL.



FIG. 2D illustrates the document CSS page 240 that allows the user to define the style for a document and the panels in the document. The document CSS page 240 can appear when the user clicks on the link to the document CSS page 240 on the main page 210 (FIG. 2A). The document CSS page 240 can be a pop-up window as illustrated in FIG. 2D or a separate page, for example, like the query page 220. Different styles can be applied at various levels of granularity; for example, a style can apply to individual elements within the document or the panel. The document CSS page 240 may also specify the dimensions of the document and the panels in the document. The same CSS may be applied to various panels by referring to a panel's number, title, or type (e.g., dropdown, text, etc.).


In some embodiments, the user interface 200, including the various pages illustrated in FIGS. 2A-2D, can be a web interface. The system may also provide different types or modes of user interfaces for authoring and editing documents and panels. For example, more advanced users can use an interface for directly entering the query, and beginner users can use a simpler interface that allows selection of values for various aspects of a panel (e.g., x value and y value of a chart). Users can share documents with other users and can give other users permission to edit, read only, etc. For example, the system can provide an edit mode (or “author mode”), in which the user can edit all aspects of a panel, e.g., the query for the panel, the display settings for the panel, etc. The system can also provide a read only mode (or “consumer mode”), in which the user can interact with the panels (e.g., select a value for a dropdown control), but may not edit other aspects of panels. In certain embodiments, users can edit panels within a web authoring environment. For example, users may use web technologies to edit the panels and may edit the panels within a web page or web interface.


In one embodiment, the user interface 200 can have two viewing modes: a WYSIWYG (What You See Is What You Get) editor mode and a corresponding read-only consumer mode. In editor mode, built-in panels like bar charts, scatter plots, time series plots, tables, dropdown menus, text boxes, etc. can be added and arranged on the canvas or page. The user can author and edit data queries via a rich editor UI, which can support quickly previewing results for quick debugging. Queries may natively support templating (e.g., via Handlebars) to link to panels, URL parameters, or data from other queries. Panels can also be templatized to link to data from the queries and coordinate with other panels. Additionally, the editor can customize styling for a particular page or document, or deployment. The read-only consumer mode may allow finished web pages to be shared to a set of users that can interact with a page but not edit its layout or setup.


Querying and Displaying Data in Data Sources Using Dynamic Panels



FIG. 3 is a data flow diagram illustrative of the interaction between the various components of a dashboard creation system 300 configured to create and display dynamic panels, according to one embodiment. The system 300 can be connected to one or more data sources 310, such as databases. The system 300 may include a template engine 350 and template storage 355. A template system may allow creation of templates that can be used to generate user interface pages, such as web pages. A template system can combine templates and data from data sources to generate user interface pages. For example, a template engine or processor of the template system can render the templates and data from data sources into finished pages. The template engine 350 can render user interface pages based on the documents and/or data in data sources 310. In some embodiments, a template is any text that contains a template placeholder(s) (e.g., double curly brackets: “{{” and “}}”), and the template engine 350 processes the template text with a template context (e.g., an object) and renders the template text to provide the final output. The output can be incorporated into query backends or be used to drive other panels. The template storage 355 can store templates and related information. In certain embodiments, the template storage 355 can also store documents, panels included in documents, and related information. Some examples of template systems may include Handlebars, Mustache, etc. FIG. 3 shows the template engine 350 and the template storage 355 as a part of the system 300, but they may reside in a separate computing system or on separate computing devices from the system 300. For example, the template engine 350 can be external to the system 300. The system 300 may communicate with a user system 320, such as a desktop computer, laptop, mobile phone, tablet, mobile devices, etc. For example, the user system 320 displays user interface pages rendered by the template engine 350. The system 300 may include additional or different components, depending on the embodiment.


At data flow action 1, the user creates a panel. As explained above, a panel can have a query associated with it and display settings associated with it.


At data flow action 2, the user defines a query associated with the panel. As mentioned above, the panels can be data source agnostic and can be associated with data from different types of data sources, such as relational databases SQL, Elasticsearch, etc. The system 300 can connect to and query data from any data source that supports a text-based query language. The system 300 can support different types of query languages and/or tools, depending on the embodiment. In certain embodiments, Handlebars can be used for the queries. In some embodiments, JSON (JavaScript Object Notation) can be used for the queries. In other embodiments, the system 300 can include one adapter for SQL databases and another adapter for REST backends (e.g., Elasticsearch), which may be provided as default adapters. The system 300 can additionally allow the user to transform and selectively extract data out of query results. For example, the user can extract data from JSON query responses using JSONPath.


At data flow action 3, the user defines display settings associated with the panel. The user can define the display settings in the document CSS for the panel. The user can create additional panels and define the query and display settings for each panel. One or more panels may be added to a container. A container may function as a holder for panels. A container can act as a collection of panels that move as a unit. The user can define the layout of the panels within the container, and also define behavior for the container, which can apply to all the panels in the container as a group. The user may add tabs for a container. For example, a container may include multiple tabs, and the user can switch between tabs to view different content. Each tab can act as a separate content space and hold different panels.


At data flow action 4, the system 300 generates the user interface page for the document that contains the panel. When the system 300 receives a request from the user system 320 for a particular document, the system 300 can obtain the requested document, for example, from the template storage 350 and run the query associated with the panels in the documents. The template engine 350 may combine the document, the panels, and the query results in order to generate finished user interface pages. As explained above, one query can be used to obtain data, and different parts of the query can be associated with different panels. For instance, a query q returns columns c1, c2, c3, and c4, and the system 300 creates a text panel whose text is {{q.c1}}, a dropdown panel whose values is {{q.c2}}, and a chart panel whose x values and y values are {{q.c3}} and {{q.c4}}, respectively. Or each panel may have a query associated with it and the result of the query can be associated with the particular panel. The finished user interface pages can be then sent to the user system 320 to be displayed in a user interface.


At data flow action 5, the user system 320 receives user input/selection in the user interface. The user may change the displayed result in the user interface of the user system 320. For example, the user may select a particular value in a dropdown control. Or the user may select a particular panel or an item within a panel. The user input or selection is sent to the system 300.


At data flow action 6, the system 300 updates the display of the panel. For instance, the query may be rerun or the query result may be filtered based on the selected value in a dropdown control. Or actions may be associated with a panel or an item within a panel, and such actions may be performed. For example, selection of a panel or an item within a panel can display options or attributes related to the panel or the item. In one example, the selection of a table row in one panel is linked to another panel that contains more detailed information about the selected row. A table shows a list of games as in FIG. 1, and selecting a game in the table shows more detailed statistics on the selected game in a different panel. Certain details relating to FIG. 3 are further explained below in connection with FIG. 3A.


The system 300 can be highly extensible, and panels can be easily created, edited, and/or removed. In one embodiment, a new panel can be added by creating a web module (e.g., an AngularJS module). A simple web module may be easily created by a suitable module generator (e.g., via Yeoman generator). Similarly, data adapters for new types of data sources can be easily added (e.g., via a java jar).


Linking of Dynamic Panels



FIG. 3A illustrates one example of linking multiple dynamic panels. In the example of FIG. 3, panels 310, 320, and 330 are similar to panels 110, 120, and 130 in FIG. 1. Panels 310, 320, and 330 may be named p1, p2, and p3, respectively. As mentioned in connection with FIG. 1, panel 310 can be a dropdown control that selects the team to view; panel 320 can be a dropdown control that selects the season for which to display the games; and panel 330 can be a table that displays the games for the team selected in panel 310 for the season selected in panel 320. For example, panels 310 and 320 can have a selected value variable associated with them since they are dropdown controls. The variables may be referenced as p1.selectedValue and p2.selectedValue. The query of panel 330 can reference p1.selectedValue and p2.selectedValue in the WHERE clause of a SELECT statement. For example, the query can be as follows: SELECT column FROM table WHERE team=p1.selectedValue AND season=p2.selectedValue. In the example of FIG. 3A, p1.selectedValue=“Team 1” and p2.selectedValue=“2014.”


The query may refer to panels, variables of panels, and/or global variables as templates, and a template system or language can process the queries and replace any templates with corresponding values. For example, a template can be indicated by double curly brackets “{{” and “}}” in a template system or language, such as Handlebars and Mustache. In the example above, p1.selectedValue and p2.selectedValue may be enclosed in double curly brackets to indicate that they are templates. Therefore, the query for the example above can be written as: SELECT column FROM table WHERE team={{p1.selectedValue}} AND season={{p2.selectedValue}}. The template engine 350 can process and replace the templates with their corresponding values at the time of generating the finished user interface pages. In certain embodiments, the system 300 builds a graph of all the references from the templates and associates the references such that if any of the references change, the corresponding templates are regenerated or refreshed. Templates may also refer to objects other than panels, depending on the embodiment. Using double curly brackets to indicate templates is described above as an example, and any other syntax elements can be used to indicate templates.


In some embodiments, the user can define variables associated with the panels that can be referenced in a query. For example, the user can define variable A for panel 310 and variable B for panel 320, and the query for panel 330 can reference variable A and variable B in the query. For example, variable A and variable B can be associated with the selected value of panel 310 and panel 320, respectively. As explained above, in some embodiments, panels can have global variables associated with them.


Writing to Data Sources Using Dynamic Panels



FIG. 4 is a data flow diagram illustrative of the interaction between the various components of a dashboard creation system 400 configured to write to data sources using dynamic panels, according to one embodiment. The system 400 and corresponding components of FIG. 4 may be similar to or the same as the system 300 and similarly named components of FIG. 3. The system 400 may include additional or different components, depending on the embodiment.


In some cases, it may be useful to allow users to write to or update the data sources through the panels. For example, the user may want to change the data in a panel and reflect the changes to the data source. The user could also save some selected rows from a table in one document for later use in other documents, or save notes from different users to a table for later reference. In certain cases, the user may also want to rename a portfolio in a database.


The system 400 can allow the users to update the data sources 410 through queries. For example, SQL queries or JSON queries can be used. SQL queries and JSON queries can refer to the panels as templates, and a template system or language like Handlebars or Mustache can process the queries and replace any templates with corresponding values. However, in certain cases, directly replacing the templates with the corresponding values can lead to unintended consequences. For instance, the user may specify an always true condition as the value to be replaced with a template in the WHERE clause of a SQL query, which can result in changing all data. In one example, the user creates a query as follows: UPDATE table SET text=“newText” WHERE id={{p1.text}}. If the value of p1.text is “1=1,” replacing the template {{p1.text}} with “1=1 would update every row in the table. Accordingly, the system 400 make the queries secure by using a custom function as explained below.


At data flow action 1, the system 400 creates a custom function to verify parameters in a query. For example, an administrator of the system 400 can create the custom function.


In some embodiments, the system 400 uses SQL queries and processes the SQL queries using Handlebars. The custom function can be a Handlebars helper. For example, the custom function can be named “param” and registered with Handlebars. Handlebars can invoke the custom function when processing the SQL queries. The user can use the custom function when using templates in SQL queries.


In one embodiment, the custom function prevents use of text values in templates and only allows parameter values in templates. For example, a variable of a panel used in a template should be a parameter value. Supposing that the variable of the panel referred to in a template is p1.property, the custom function checks whether p1.property is an array. If p1.property is not an array, the custom function replaces “{{param p1.property}}” with a “?” and saves the value of p1.property for reference, for example, in a reference array. If p1.property is an array with a length of n, the custom function replaces “{{param p1.property}}” with a string containing n question marks separated by commas and saves the value of each of element in the array for reference, for example, in a reference array. In this way, the custom function can help create parameterized queries, which contain placeholders such as “?” that can be inserted in query parameters. The SQL engine would escape and not evaluate these parameters, and therefore, parameterized queries can prevent SQL injection. For instance, the expression “1=1” would be escaped and would not be evaluated as a boolean expression; rather it is evaluated as a string.


For example, if p1.property is equal to 1, the custom function processes the SQL query UPDATE table SET text=“newText” WHERE id={{param p1.property}} to UPDATE table SET text=“newText” WHERE id=?, and stores 1 in the reference array. In another example, if p1.property is equal to an array [1, 2], the custom function processes the SQL query UPDATE table SET text=“newText” WHERE id={{param p1.property}} to UPDATE table SET text=“newText” WHERE id=(?, ?), and stores 1 and 2 in the reference array. The processed query and parameters can be prepared as a JDBC statement and run against one or more data sources 410. Types of parameters can be preserved (e.g., whether the parameter is a number or a string) by using additional Handlebars helpers.


In other embodiments, the system 400 uses JSON queries and processes the JSON queries using Handlebars and/or Mustache. A JSON query can include three parts: path, method, and body. The path and the body can use templates; since the method generally has a few options, templates may not be used with the method. In order to have different rules for the use of templates, the path, method, and body can be separated into different components of the query. For example, the path and method can be considered as metadata, and the body can be considered as the template.


The custom function can be used on the body of a JSON query. The custom function can be a Handlebars helper. For example, the custom function can be named “{{esc}}” and registered with Handlebars. Handlebars can invoke the custom function when processing JSON queries. The user can use the custom function when using templates in JSON queries. The custom function may verify that all values for templates are valid JSON values (e.g., string, number, object, array, boolean, null, etc.). The custom function can convert the value of templates to string format (e.g., using JSON stringify function). For example, {value: {{esc ptvalue}}} where p1.value is “a” (chars [a]) is evaluated to be {value: “a”}.


The system 400 can also create an additional custom function for string interpolation or for cases where the user wants to use another Handlebars helper (e.g., the join helper). The additional custom function can be a block helper; for example, it can be referred to as {{#esc}}{{/esc}} block helper. In one embodiment, the block helper can evaluate the templates within the block helper, take the result as one string, and convert the one string to string format. In other embodiments, Handlebars evaluates what is inside the block helper, and the helpers within the block helper can convert the result to string format. In certain embodiments, the block helper or helpers convert the result to string format (e.g., by calling JSON stringify function) for security. In one embodiment, JSON stringify function can be called on block helpers for security. Various embodiments described in this disclosure may be implemented separately or in combination as appropriate.


The system 400 may also define rules and features to be implemented in association with the custom function(s). In one example, for the path, the system 400 can require that values for templates are uniform resource identifier (URI) unreserved characters and are not periods. This can prevent the template value from going outside of the intended space in the path (e.g., intended directory). In some embodiments, the system 400 may not allow quotes around templates to avoid a string object from being closed accidentally. The system 400 may also require that all other non-block helpers are nested inside the {{esc}} helper or used inside the {{#esc}}{{/esc}} block helper.


At data flow action 2, the user writes a query in a panel using the custom function in order to write data to a data source 410. The system 400 can require users to use the custom functions when writing queries to write to a data source 410. For instance, the system 400 can return errors for queries that do not use the custom functions or do not use the custom functions properly.


At data flow action 3, the user runs the query. The user can associate the query with a query button panel. The user may run the query by clicking on the query button. The user system 420 can send the user query to the system 400.


At data flow action 4, the system 400 invokes the custom function to verify and process the parameters in the query. Upon receiving the user query from the user system 420, the system 400 can invoke the custom function on the query and format the query appropriately. If the processed query does not conform to the rules associated with the custom function, the system 400 can return an error.


At data flow action 5, the system 400 runs the query with the processed parameters to write to the data source 410. If the processed query is properly written and/or conforms to the rules associated with the custom function, the system 400 runs the query against the data source 410.


In certain embodiments, the system 400 also implements custom functions to verify parameters of queries for reading data. For example, the system 400 can create custom functions (e.g., Handlebars helpers) for verifying table names, column names, alias table names, alias column names, etc. In one embodiment, the system 400 creates Handlebars helpers “table,” “column,” and “alias” to make sure the table, column, or alias actually exists in the data sources 410. The system 400 can verify a table name or column name by checking that the table name or column name is within the schema of the database. The user can register the alias table name or column name, and the system 400 may verify an alias name by checking that it is registered.



FIG. 5 illustrates a flowchart for creating and displaying dynamic panels in a user interface, according to certain embodiments. The process 500 may be implemented by one or more systems described with respect to FIGS. 3 and 4. For illustrative purposes, the process 500 is explained below in connection with the system 300 in FIG. 3 and the example of FIG. 3A. Certain details relating to the process 500 are explained in more detail with respect to FIGS. 1-4. Depending on the embodiment, the process 500 may include fewer or additional blocks, and the blocks may be performed in an order that is different than illustrated.


At block 501, the system 300 generates a user interface configured to display a plurality of panels, each panel associated with display settings and a query. At block 502, the system 300 performs the query associated with a first panel. The first panel can be panel 310 in FIG. 3A.


At block 503, the system 300 displays the first panel in the user interface based on the display settings of the first panel. The query of panel 310 can be run to obtain the list of teams to display in panel 310. The list of teams can be displayed according the document CSS of panel 310. One team from the list of teams may be displayed in panel 310 as the default value. For example, panel 310 shows the first team in the list.


Similarly, the system 300 can perform the query associated with panel 320 and display panel 320 in the user interface based on the display settings of panel 320. One season from the list of seasons may be displayed in panel 320 as the default value. For example, panel 320 shows the most current season in the list.


At block 504, the system 300 performs the query associated with a second panel. The second panel can be panel 330 in FIG. 3A.


At block 505, the system 300 displays the second panel in the user interface based on the display settings of the second panel. The query of panel 330 can be run to obtain the list of games to display in panel 330. As explained above, the query of panel 330 obtains the list of games to display for the team selected in panel 310 and the season selected in panel 320. The list of games can be displayed according the document CSS of panel 330.


At block 506, the system 300 receives user input changing the displayed result in the first panel. For example, the user selects Team 1 from the list of teams in panel 310, and panel 310 is updated to show Team 1 as selected. The user selection is sent to the system 300.


At block 507, the system 300 updates the display of the first panel. If there are any changes to be made to panel 310, the system 300 can refresh panel 310, e.g., by rerunning the query and/or regenerating panel 310 through the template engine 350. In the example of FIG. 3A, panel 310 is a dropdown control, so the system 300 may not have to update panel 310.


At block 508, the system 300 updates the display of the second panel. Since the query of panel 330 links to panel 310, panel 330 is also updated to display games for Team 1 for the season selected in panel 320. For example, the query for panel 330 can be rerun. In this manner, linked panels can be updated dynamically.



FIG. 6 illustrates a flowchart for writing to data sources using dynamic panels, according to certain embodiments. The process 600 may be implemented by one or more systems described with respect to FIGS. 3 and 4. For illustrative purposes, the process 600 is explained below in connection with the system 400 in FIG. 4. Certain details relating to the process 600 are explained in more detail with respect to FIGS. 1-5. Depending on the embodiment, the process 600 may include fewer or additional blocks, and the blocks may be performed in an order that is different than illustrated.


At block 601, the system 400 creates a custom function to verify parameters in a query. The custom functions may be Handlebars helpers explained above, such as param helper, {{esc}} helper, {{#esc}}{{/esc}} block helper, etc.


At block 602, the system 400 receives a query using the custom function from a panel in the user interface. The user writes a query that uses the custom function.


At block 603, the system 400 invokes the custom function to verify and process parameters in the query. In one embodiment, the custom function replaces the parameters with respective placeholders and stores respective values corresponding to the parameters in an array. In another embodiment, the custom function changes respective values corresponding to the parameters to string format.


At block 604, the system 400 runs the query with the processed parameters to write to or read from the data source(s) 410.



FIGS. 7A-7C illustrate various examples of panels and features provided by a dashboard creation system, according to certain embodiments. FIG. 7A illustrates the alignment indicator feature for panels. As the user moves a panel within the user interface, other panels that line up with the panel being moved can be distinguished in the user interface to indicate that they are aligned. For example, the borders of the other panels can be highlighted, displayed in a different color, etc. In one embodiment, one or more guidelines appear to show that the panels are lined up (e.g., at one edge).



FIG. 7B illustrates the auto zoom feature for panels. When the finished user interface pages are displayed in the user interface, the user may resize the window of the user interface. In such case, the document and/or the panels in the user interface pages may be resized based on the width of the window. For example, if the window size is increased, the size of the document and/or the panels in the UI pages increase to fit the width of the window. Or if the window size is decreased, the size of the document and/or the panels in the UI pages decrease to fit the width of the window. This can be different from typical web pages where the content of the web pages remains the same regardless of whether the window of the browser is resized or not.



FIG. 7C illustrates another example of a panel 730. This panel may be referred to as a “card” panel since it includes one or more cards that can be selected. A card panel may refer to visualization of certain information within a card-like display. Either a single card or multiple cards can be selected, and the selections can be linked to other panels. In the example of FIG. 7C, different cards indicate a particular score combination for the outcome of a game. Users may sign up for a particular score combination in order to predict the outcome, and the user names are listed in the card they sign up for.


In certain embodiments, the user login information may be saved as global variables so that they can be accessible within the document. The user login information can include the group, email address, name, etc. of the user. The user login information may be used in queries, for example, to check permissions, etc.


Dashboard Creation Application


The system for providing a plurality of dynamic panels in a user interface as explained above may also be referred to as a “Dashboard Creation Application.” The Dashboard Creation Application (DCA) can be an extensible WYSIWYG (What You See Is What You Get) web application for quickly and easily creating interactive, data-driven web pages. For example, the Dashboard Creation Application can easily create interactive dashboards which support lightweight filtering and drill-down operations on top of arbitrary data storage systems or data sources.


In one embodiment, the Dashboard Creation Application enables analysts to author dashboards of visualizations for easy consumption by end users. It will provide a number of panels like charts, tables, and images, in a pluggable architecture so analysts can add custom panels for particular deployments. For example, a standard plug-in structure can be used across systems and products. Panels will be interactive and coordinated, and support filtering/aggregations to create drill-down style analysis. The dashboard author will have fine control over the layout and styling of the panels contained in each Dashboard Creation Application dashboard. The Dashboard Creation Application will be deployable on top of any collection of other products for presentation and dashboarding use cases because it is agnostic to the underlying data store.


In various embodiments, the Dashboard Creation Application may perform one or more of the functions noted below:

    • Create dashboards which use Elasticsearch or SQL data sources
    • Add chart, table, text, dropdown, map, multi-select, etc. panels to dashboards
    • Create custom panels
    • Create basic links between panels
    • Move and resize panels via the UI
    • Edit the query template associated with a panel through the UI
    • Create/manage new documents through the UI
    • Flexibility around which portions of a JSON response can be accessed and used as data for the panels
    • Share a pool of queries/variables across all panels to make it easier to build dashboards
    • Abstracting out features across backends into the “basic” or “beginner” UI


In some embodiments, the Dashboard Creation Application integrates closely with other products so that more use cases can be covered by combining the tools appropriately. The numbers and types of users reached can be increased by improving the usability and expressiveness of the UI available to end users for building dashboards. In various embodiments, the Dashboard Creation Application may implement one or more of the functions noted below:

    • Expansion of the formatting UI—users can make very specific visual edits to the panels through the UI
    • Filters and/or panels from other applications or web-based applications can be dropped into and used inside Dashboard Creation Application.


      Implementation Mechanisms


According to one embodiment, the techniques described herein are implemented by one or more special-purpose computing devices. The special-purpose computing devices may be hard-wired to perform the techniques, or may include circuitry or digital electronic devices such as one or more application-specific integrated circuits (ASICs) or field programmable gate arrays (FPGAs) that are persistently programmed to perform the techniques, or may include one or more hardware processors programmed to perform the techniques pursuant to program instructions in firmware, memory, other storage, or a combination. Such special-purpose computing devices may also combine custom hard-wired logic, ASICs, or FPGAs with custom programming to accomplish the techniques. The special-purpose computing devices may be desktop computer systems, server computer systems, portable computer systems, handheld devices, networking devices or any other device or combination of devices that incorporate hard-wired and/or program logic to implement the techniques.


Computing device(s) are generally controlled and coordinated by operating system software, such as iOS, Android, Chrome OS, Windows XP, Windows Vista, Windows 7, Windows 8, Windows Server, Windows CE, Unix, Linux, SunOS, Solaris, iOS, Blackberry OS, VxWorks, or other compatible operating systems. In other embodiments, the computing device may be controlled by a proprietary operating system. Conventional operating systems control and schedule computer processes for execution, perform memory management, provide file system, networking, I/O services, and provide a user interface functionality, such as a graphical user interface (“GUI”), among other things.


For example, FIG. 8 shows a block diagram that illustrates a computer system 800 upon which an embodiment may be implemented. For example, the computing system 800 may comprise a system for providing a plurality of dynamic panels in a user interface. Other computing systems discussed herein may include any portion of the circuitry and/or functionality discussed with reference to system 800. For instance, the system 300 and/or 400 can each include some or all of the components and/or functionality of the system 800.


Computer system 800 includes a bus 802 or other communication mechanism for communicating information, and a hardware processor, or multiple processors, 804 coupled with bus 802 for processing information. Hardware processor(s) 804 may be, for example, one or more general purpose microprocessors.


Computer system 800 also includes a main memory 806, such as a random access memory (RAM), cache and/or other dynamic storage devices, coupled to bus 802 for storing information and instructions to be executed by processor 804. Main memory 806 also may be used for storing temporary variables or other intermediate information during execution of instructions to be executed by processor 804. Such instructions, when stored in storage media accessible to processor 804, render computer system 800 into a special-purpose machine that is customized to perform the operations specified in the instructions.


Computer system 800 further includes a read only memory (ROM) 808 or other static storage device coupled to bus 802 for storing static information and instructions for processor 804. A storage device 810, such as a magnetic disk, optical disk, or USB thumb drive (Flash drive), etc., is provided and coupled to bus 802 for storing information and instructions.


Computer system 800 may be coupled via bus 802 to a display 812, such as a cathode ray tube (CRT) or LCD display (or touch screen), for displaying information to a computer user. An input device 814, including alphanumeric and other keys, is coupled to bus 802 for communicating information and command selections to processor 804. Another type of user input device is cursor control 816, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to processor 804 and for controlling cursor movement on display 812. This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allows the device to specify positions in a plane. In some embodiments, the same direction information and command selections as cursor control may be implemented via receiving touches on a touch screen without a cursor.


Computing system 800 may include a user interface module to implement a GUI that may be stored in a mass storage device as executable software codes that are executed by the computing device(s). This and other modules may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.


In general, the word “module,” as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, possibly having entry and exit points, written in a programming language, such as, for example, Java, Lua, C or C++. A software module may be compiled and linked into an executable program, installed in a dynamic link library, or may be written in an interpreted programming language such as, for example, BASIC, Perl, or Python. It will be appreciated that software modules may be callable from other modules or from themselves, and/or may be invoked in response to detected events or interrupts. Software modules configured for execution on computing devices may be provided on a computer readable medium, such as a compact disc, digital video disc, flash drive, magnetic disc, or any other tangible medium, or as a digital download (and may be originally stored in a compressed or installable format that requires installation, decompression or decryption prior to execution). Such software code may be stored, partially or fully, on a memory device of the executing computing device, for execution by the computing device. Software instructions may be embedded in firmware, such as an EPROM. It will be further appreciated that hardware modules may be comprised of connected logic units, such as gates and flip-flops, and/or may be comprised of programmable units, such as programmable gate arrays or processors. The modules or computing device functionality described herein are preferably implemented as software modules, but may be represented in hardware or firmware. Generally, the modules described herein refer to logical modules that may be combined with other modules or divided into sub-modules despite their physical organization or storage


Computer system 800 may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and/or program logic which in combination with the computer system causes or programs computer system 800 to be a special-purpose machine. According to one embodiment, the techniques herein are performed by computer system 800 in response to processor(s) 804 executing one or more sequences of one or more instructions contained in main memory 806. Such instructions may be read into main memory 806 from another storage medium, such as storage device 810. Execution of the sequences of instructions contained in main memory 806 causes processor(s) 804 to perform the process steps described herein. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions.


The term “non-transitory media,” and similar terms, as used herein refers to any media that store data and/or instructions that cause a machine to operate in a specific fashion. Such non-transitory media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 810. Volatile media includes dynamic memory, such as main memory 806. Common forms of non-transitory media include, for example, a floppy disk, a flexible disk, hard disk, solid state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge, and networked versions of the same.


Non-transitory media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between nontransitory media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 802. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.


Various forms of media may be involved in carrying one or more sequences of one or more instructions to processor 804 for execution. For example, the instructions may initially be carried on a magnetic disk or solid state drive of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to computer system 800 can receive the data on the telephone line and use an infra-red transmitter to convert the data to an infra-red signal. An infra-red detector can receive the data carried in the infra-red signal and appropriate circuitry can place the data on bus 802. Bus 802 carries the data to main memory 806, from which processor 804 retrieves and executes the instructions. The instructions received by main memory 806 may optionally be stored on storage device 810 either before or after execution by processor 804.


Computer system 800 also includes a communication interface 818 coupled to bus 802. Communication interface 818 provides a two-way data communication coupling to a network link 820 that is connected to a local network 822. For example, communication interface 818 may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, communication interface 818 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN (or WAN component to communicate with a WAN). Wireless links may also be implemented. In any such implementation, communication interface 818 sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.


Network link 820 typically provides data communication through one or more networks to other data devices. For example, network link 820 may provide a connection through local network 822 to a host computer 824 or to data equipment operated by an Internet Service Provider (ISP) 826. ISP 826 in turn provides data communication services through the world wide packet data communication network now commonly referred to as the “Internet” 825. Local network 822 and Internet 825 both use electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on network link 820 and through communication interface 818, which carry the digital data to and from computer system 800, are example forms of transmission media.


Computer system 800 can send messages and receive data, including program code, through the network(s), network link 820 and communication interface 818. In the Internet example, a server 830 might transmit a requested code for an application program through Internet 825, ISP 826, local network 822 and communication interface 818.


The received code may be executed by processor 804 as it is received, and/or stored in storage device 810, or other non-volatile storage for later execution.


Each of the processes, methods, and algorithms described in the preceding sections may be embodied in, and fully or partially automated by, code modules executed by one or more computer systems or computer processors comprising computer hardware. The processes and algorithms may be implemented partially or wholly in application-specific circuitry.


The various features and processes described above may be used independently of one another, or may be combined in various ways. All possible combinations and subcombinations are intended to fall within the scope of this disclosure. In addition, certain method or process blocks may be omitted in some implementations. The methods and processes described herein are also not limited to any particular sequence, and the blocks or states relating thereto can be performed in other sequences that are appropriate. For example, described blocks or states may be performed in an order other than that specifically disclosed, or multiple blocks or states may be combined in a single block or state. The example blocks or states may be performed in serial, in parallel, or in some other manner. Blocks or states may be added to or removed from the disclosed example embodiments. The example systems and components described herein may be configured differently than described. For example, elements may be added to, removed from, or rearranged compared to the disclosed example embodiments.


Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.


Any process descriptions, elements, or blocks in the flow diagrams described herein and/or depicted in the attached figures should be understood as potentially representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of the embodiments described herein in which elements or functions may be deleted, executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those skilled in the art.


It should be emphasized that many variations and modifications may be made to the above-described embodiments, the elements of which are to be understood as being among other acceptable examples. All such modifications and variations are intended to be included herein within the scope of this disclosure. The foregoing description details certain embodiments of the invention. It will be appreciated, however, that no matter how detailed the foregoing appears in text, the invention can be practiced in many ways. As is also stated above, it should be noted that the use of particular terminology when describing certain features or aspects of the invention should not be taken to imply that the terminology is being re-defined herein to be restricted to including any specific characteristics of the features or aspects of the invention with which that terminology is associated. The scope of the invention should therefore be construed in accordance with the appended claims and any equivalents thereof.

Claims
  • 1. A computer system configured to display data from one or more data sources, the computer system comprising: one or more hardware computer processors configured to execute code in order to cause the system to: generate a first user interface configured to display a plurality of panels including a first panel and a second panel, wherein the first panel has a first display setting and is also programmed with a first query for accessing the one or more data sources, and wherein the second panel has a second display setting and is also programmed with a second query for accessing the one or more data sources;generate a second user interface configured to display at least one of: a listing of variables including a first variable associated with the first panel, ora coding of the second query that comprises a first section of code that comprises the identifier of the first variable, wherein the second query is written in a first programming language and the first section of code is written in a template syntax;in response to a first user input received via the first user interface: execute a first query associated with the first panel to retrieve first data from the one or more databases, the execution of the first query also causing the first variable associated with the first panel to be defined with a first value;display the first panel in the first user interface based on the first display settings of the first panel, the first panel displaying at least a portion of the first data retrieved by the first query;execute a second query associated with the second panel to retrieve second data from the one or more databases, wherein the second data is retrieved, based at least in part, on the first value of the first variable associated with the first query of the first panel; anddisplay the second panel in the first user interface based on the second display settings, the second panel displaying at least a portion of the second data retrieved by the second query;in response to a second user input received via the first user interface and changing the first variable associated with the first panel to be defined with a second value: re-execute the second query associated with the second panel to retrieve third data from the one or more databases, wherein the third data is retrieved, based at least in part, on the second value of the first variable associated with the first query of the first panel; andupdate the display of the second panel in the first user interface based on the third data retrieved by the re-executed second query of the second panel;display code of a third query that is associated with any panel, the third query being written in the first programming language, the third query comprising: an instruction to write new information to the one or more databases, wherein the new information includes a second variable; anda second section of code written in the template syntax, the second section of code comprising a function call on a parameter, the parameter being the second variable; andin response to a third user input received via the second user interface, the third user input providing a value for the second variable: cause the function call to pre-process the second section of code;cause the value of the second variable to be stored in an array;cause the second section of code written in the template syntax to be replaced with a placeholder; andcause execution of the third query in the first programming language to write the new information to the one or more data sources.
  • 2. The system of claim 1, wherein the one or more hardware computer processors are further configured to execute code in order to cause the system to, further in response to the third user input received via the second user interface, change a format of the second variable to be a string format.
  • 3. The system of claim 1, wherein each of the plurality of panels is referenced as a template that is rendered by a template engine, and the function is registered with the template engine.
  • 4. The system of claim 1, wherein the one or more hardware computer processors are further configured to execute code in order to cause the system to: prior to executing the first query associated with the first panel, invoke one or more functions to determine whether a table, a row, or a column referenced in the first query exists in the one or more data sources.
  • 5. The system of claim 1, wherein the one or more hardware computer processors are further configured to execute code in order to cause the system to: generate the first user interface according to a style defined in a cascading style sheet, and wherein the first display setting comprises code to format the portion of the first data retrieved by the first query as at least one of: a chart, a control, a map, a table, or a text box.
  • 6. The system of claim 1, wherein the template syntax comprises at least one of: Handlebars, Mustache, or a semantic template language.
  • 7. The system of claim 6, wherein the function is written in the template syntax.
  • 8. The system of claim 6, wherein the first programming language comprises Structured Query Language (SQL) or JavaScript Object Notation (JSON).
  • 9. The system of claim 8, wherein the one or more hardware computer processors are further configured to execute code in order to cause the system to: in response to causing the function call to pre-process the second section of code, executing a Java DataBase Connectivity (JDBC) code to write the new information to the one or more data sources.
  • 10. The system of claim 9, wherein the one or more hardware computer processors are further configured to execute code in order to cause the system to, in response to the third user input received via the second user interface, preserve a type of the value of the second variable that is stored in the array.
INCORPORATION BY REFERENCE TO ANY PRIORITY APPLICATIONS

This application claims the benefit of U.S. Provisional Application No. 62/045,488, filed Sep. 3, 2014, and U.S. Provisional Application No. 62/135,448, filed Mar. 19, 2015, each of which is incorporated herein by reference in its entirety. Any and all applications, if any, for which a foreign or domestic priority claim is identified in the Application Data Sheet of the present application are hereby incorporated by reference under 37 CFR 1.57.

US Referenced Citations (723)
Number Name Date Kind
5109399 Thompson Apr 1992 A
5241625 Epard et al. Aug 1993 A
5329108 Lamoure Jul 1994 A
5632009 Rao et al. May 1997 A
5670987 Doi et al. Sep 1997 A
5724575 Hoover et al. Mar 1998 A
5781704 Rossmo Jul 1998 A
5798769 Chiu et al. Aug 1998 A
5845300 Comer Dec 1998 A
5872973 Mitchell et al. Feb 1999 A
5897636 Kaeser Apr 1999 A
5999911 Berg et al. Dec 1999 A
6057757 Arrowsmith et al. May 2000 A
6065026 Cornelia et al. May 2000 A
6073129 Levine et al. Jun 2000 A
6091956 Hollenberg Jul 2000 A
6161098 Wallman Dec 2000 A
6219053 Tachibana et al. Apr 2001 B1
6232971 Haynes May 2001 B1
6237138 Hameluck et al. May 2001 B1
6243706 Moreau et al. Jun 2001 B1
6243717 Gordon et al. Jun 2001 B1
6247019 Davies Jun 2001 B1
6279018 Kudrolli et al. Aug 2001 B1
6304873 Klein et al. Oct 2001 B1
6341310 Leshem et al. Jan 2002 B1
6366933 Ball et al. Apr 2002 B1
6369835 Lin Apr 2002 B1
6370538 Lamping et al. Apr 2002 B1
6418438 Campbell Jul 2002 B1
6430305 Decker Aug 2002 B1
6456997 Shukla Sep 2002 B1
6510504 Satyanarayana Jan 2003 B2
6523019 Borthwick Feb 2003 B1
6549944 Weinberg et al. Apr 2003 B1
6560620 Ching May 2003 B1
6574635 Stauber et al. Jun 2003 B2
6581068 Bensoussan et al. Jun 2003 B1
6594672 Lampson et al. Jul 2003 B1
6631496 Li et al. Oct 2003 B1
6642945 Sharpe Nov 2003 B1
6665683 Meltzer Dec 2003 B1
6674434 Chojnacki et al. Jan 2004 B1
6714936 Nevin, III Mar 2004 B1
6745382 Zothner Jun 2004 B1
6775675 Nwabueze et al. Aug 2004 B1
6820135 Dingman Nov 2004 B1
6828920 Owen et al. Dec 2004 B2
6839745 Dingari et al. Jan 2005 B1
6850317 Mullins et al. Feb 2005 B2
6877137 Rivette et al. Apr 2005 B1
6944821 Bates et al. Sep 2005 B1
6967589 Peters Nov 2005 B1
6976210 Silva et al. Dec 2005 B1
6980984 Huffman et al. Dec 2005 B1
6985950 Hanson et al. Jan 2006 B1
7036085 Barros Apr 2006 B2
7043702 Chi et al. May 2006 B2
7055110 Kupka et al. May 2006 B2
7058648 Lightfoot et al. Jun 2006 B1
7086028 Davis et al. Aug 2006 B1
7111231 Huck et al. Sep 2006 B1
7139800 Bellotti et al. Nov 2006 B2
7158878 Rasmussen et al. Jan 2007 B2
7162475 Ackerman Jan 2007 B2
7168039 Bertram Jan 2007 B2
7171427 Witkowski Jan 2007 B2
7174377 Bernard et al. Feb 2007 B2
7194680 Roy Mar 2007 B1
7213030 Jenkins May 2007 B1
7269786 Malloy et al. Sep 2007 B1
7278105 Kitts Oct 2007 B1
7290698 Poslinski et al. Nov 2007 B2
7333998 Heckerman et al. Feb 2008 B2
7370047 Gorman May 2008 B2
7379811 Rasmussen et al. May 2008 B2
7379903 Caballero et al. May 2008 B2
7392254 Jenkins Jun 2008 B1
7426654 Adams et al. Sep 2008 B2
7441182 Beilinson et al. Oct 2008 B2
7441219 Perry et al. Oct 2008 B2
7454466 Bellotti et al. Nov 2008 B2
7461158 Rider et al. Dec 2008 B2
7467375 Tondreau et al. Dec 2008 B2
7487139 Fraleigh et al. Feb 2009 B2
7502786 Liu et al. Mar 2009 B2
7525422 Bishop et al. Apr 2009 B2
7529727 Arning et al. May 2009 B2
7529734 Dirisala May 2009 B2
7558677 Jones Jul 2009 B2
7574409 Patinkin Aug 2009 B2
7574428 Leiserowitz et al. Aug 2009 B2
7579965 Bucholz Aug 2009 B2
7596285 Brown et al. Sep 2009 B2
7614006 Molander Nov 2009 B2
7617232 Gabbert et al. Nov 2009 B2
7620628 Kapur et al. Nov 2009 B2
7627812 Chamberlain et al. Dec 2009 B2
7634717 Chamberlain et al. Dec 2009 B2
7703021 Flam Apr 2010 B1
7706817 Bamrah et al. Apr 2010 B2
7712049 Williams et al. May 2010 B2
7716077 Mikurak May 2010 B1
7725530 Sah et al. May 2010 B2
7725547 Albertson et al. May 2010 B2
7725728 Ama et al. May 2010 B2
7730082 Sah et al. Jun 2010 B2
7730109 Rohrs et al. Jun 2010 B2
7765489 Shah et al. Jul 2010 B1
7770100 Chamberlain et al. Aug 2010 B2
7805457 Viola et al. Sep 2010 B1
7809703 Balabhadrapatruni et al. Oct 2010 B2
7818658 Chen Oct 2010 B2
7870493 Pall et al. Jan 2011 B2
7877421 Berger et al. Jan 2011 B2
7880921 Dattilo et al. Feb 2011 B2
7894984 Rasmussen et al. Feb 2011 B2
7899611 Downs et al. Mar 2011 B2
7917376 Bellin et al. Mar 2011 B2
7920963 Jouline et al. Apr 2011 B2
7933862 Chamberlain et al. Apr 2011 B2
7941336 Robin-Jan May 2011 B1
7958147 Turner et al. Jun 2011 B1
7962281 Rasmussen et al. Jun 2011 B2
7962495 Jain et al. Jun 2011 B2
7962848 Bertram Jun 2011 B2
7966199 Frasher Jun 2011 B1
7970240 Chao et al. Jun 2011 B1
7971150 Raskutti et al. Jun 2011 B2
7984374 Caro et al. Jul 2011 B2
8001465 Kudrolli et al. Aug 2011 B2
8001482 Bhattiprolu et al. Aug 2011 B2
8010507 Poston et al. Aug 2011 B2
8010545 Stefik et al. Aug 2011 B2
8015487 Roy et al. Sep 2011 B2
8024778 Cash et al. Sep 2011 B2
8036632 Cona et al. Oct 2011 B1
8041714 Aymeloglu et al. Oct 2011 B2
8073857 Sreekanth Dec 2011 B2
8103543 Zwicky Jan 2012 B1
8112425 Baum et al. Feb 2012 B2
8126848 Wagner Feb 2012 B2
8134457 Velipasalar et al. Mar 2012 B2
8145703 Frishert et al. Mar 2012 B2
8185819 Sah et al. May 2012 B2
8191005 Baier et al. May 2012 B2
8214361 Sandler et al. Jul 2012 B1
8214764 Gemmell et al. Jul 2012 B2
8225201 Michael Jul 2012 B2
8229947 Fujinaga Jul 2012 B2
8230333 Decherd et al. Jul 2012 B2
8271461 Pike et al. Sep 2012 B2
8280880 Aymeloglu et al. Oct 2012 B1
8290838 Thakur et al. Oct 2012 B1
8290926 Ozzie et al. Oct 2012 B2
8290942 Jones et al. Oct 2012 B2
8301464 Cave et al. Oct 2012 B1
8301904 Gryaznov Oct 2012 B1
8302855 Ma et al. Nov 2012 B2
8312367 Foster Nov 2012 B2
8312546 Alme Nov 2012 B2
8352881 Champion et al. Jan 2013 B2
8368695 Howell et al. Feb 2013 B2
8397171 Klassen et al. Mar 2013 B2
8412707 Mianji Apr 2013 B1
8447722 Ahuja et al. May 2013 B1
8452790 Mianji May 2013 B1
8463036 Ramesh et al. Jun 2013 B1
8489331 Kopf et al. Jul 2013 B2
8489641 Seefeld et al. Jul 2013 B1
8494984 Ito et al. Jul 2013 B2
8504542 Chang et al. Aug 2013 B2
8510743 Hackborn et al. Aug 2013 B2
8514082 Cova et al. Aug 2013 B2
8515207 Chau Aug 2013 B2
8527949 Pleis et al. Sep 2013 B1
8554579 Tribble et al. Oct 2013 B2
8554653 Falkenborg et al. Oct 2013 B2
8554709 Goodson et al. Oct 2013 B2
8560413 Quarterman et al. Oct 2013 B1
8577911 Stepinski et al. Nov 2013 B1
8589273 Creeden et al. Nov 2013 B2
8595234 Siripurapu et al. Nov 2013 B2
8620641 Farnsworth et al. Dec 2013 B2
8639757 Zang et al. Jan 2014 B1
8646080 Williamson et al. Feb 2014 B2
8676857 Adams et al. Mar 2014 B1
8682696 Shanmugam Mar 2014 B1
8688573 Rukonic et al. Apr 2014 B1
8689108 Duffield et al. Apr 2014 B1
8713467 Goldenberg et al. Apr 2014 B1
8726379 Stiansen et al. May 2014 B1
8732574 Burr et al. May 2014 B2
8739278 Varghese May 2014 B2
8742934 Sarpy et al. Jun 2014 B1
8744890 Bernier Jun 2014 B1
8745516 Mason et al. Jun 2014 B2
8781169 Jackson et al. Jul 2014 B2
8787939 Papakipos et al. Jul 2014 B2
8788407 Singh et al. Jul 2014 B1
8799313 Satlow Aug 2014 B2
8799799 Cervelli et al. Aug 2014 B1
8807948 Luo et al. Aug 2014 B2
8812960 Sun et al. Aug 2014 B1
8830322 Nerayoff et al. Sep 2014 B2
8832594 Thompson et al. Sep 2014 B1
8868537 Colgrove et al. Oct 2014 B1
8917274 Ma et al. Dec 2014 B2
8924872 Bogomolov et al. Dec 2014 B1
8930331 McGrew et al. Jan 2015 B2
8930874 Duff et al. Jan 2015 B2
8937619 Sharma et al. Jan 2015 B2
8938686 Erenrich et al. Jan 2015 B1
8984390 Aymeloglu et al. Mar 2015 B2
9009171 Grossman et al. Apr 2015 B1
9009827 Albertson et al. Apr 2015 B1
9021260 Falk et al. Apr 2015 B1
9021384 Beard et al. Apr 2015 B1
9043696 Meiklejohn et al. May 2015 B1
9043894 Dennison et al. May 2015 B1
9058315 Burr et al. Jun 2015 B2
9116975 Shankar et al. Aug 2015 B2
9165100 Begur et al. Oct 2015 B2
20010051949 Carey et al. Dec 2001 A1
20020032677 Morgenthaler et al. Mar 2002 A1
20020033848 Sciammarella et al. Mar 2002 A1
20020065708 Senay et al. May 2002 A1
20020091694 Hrle et al. Jul 2002 A1
20020091707 Keller Jul 2002 A1
20020095360 Joao Jul 2002 A1
20020095658 Shulman Jul 2002 A1
20020103705 Brady Aug 2002 A1
20020116120 Ruiz et al. Aug 2002 A1
20020174201 Ramer et al. Nov 2002 A1
20020194119 Wright et al. Dec 2002 A1
20020196229 Chen et al. Dec 2002 A1
20030028560 Kudrolli et al. Feb 2003 A1
20030036927 Bowen Feb 2003 A1
20030039948 Donahue Feb 2003 A1
20030093755 O'Carroll May 2003 A1
20030105759 Bess et al. Jun 2003 A1
20030115481 Baird et al. Jun 2003 A1
20030120675 Stauber et al. Jun 2003 A1
20030126102 Borthwick Jul 2003 A1
20030140106 Raguseo Jul 2003 A1
20030144868 MacIntyre et al. Jul 2003 A1
20030163352 Surpin et al. Aug 2003 A1
20030212718 Tester Nov 2003 A1
20030225755 Iwayama et al. Dec 2003 A1
20030229848 Arend et al. Dec 2003 A1
20040032432 Baynger Feb 2004 A1
20040034570 Davis Feb 2004 A1
20040044648 Anfindsen et al. Mar 2004 A1
20040064256 Barinek et al. Apr 2004 A1
20040085318 Hassler et al. May 2004 A1
20040095349 Bito et al. May 2004 A1
20040111410 Burgoon et al. Jun 2004 A1
20040117345 Bamford et al. Jun 2004 A1
20040117387 Civetta et al. Jun 2004 A1
20040126840 Cheng et al. Jul 2004 A1
20040143602 Ruiz et al. Jul 2004 A1
20040143796 Lerner et al. Jul 2004 A1
20040148301 McKay et al. Jul 2004 A1
20040163039 Gorman Aug 2004 A1
20040193600 Kaasten et al. Sep 2004 A1
20040205492 Newsome Oct 2004 A1
20040221223 Yu et al. Nov 2004 A1
20040236688 Bozeman Nov 2004 A1
20040236711 Nixon et al. Nov 2004 A1
20040260702 Cragun et al. Dec 2004 A1
20040267746 Marcjan et al. Dec 2004 A1
20050010472 Quatse et al. Jan 2005 A1
20050027705 Sadri et al. Feb 2005 A1
20050028094 Allyn Feb 2005 A1
20050039116 Slack-Smith Feb 2005 A1
20050039119 Parks et al. Feb 2005 A1
20050065811 Chu et al. Mar 2005 A1
20050080769 Gemmell Apr 2005 A1
20050086207 Heuer et al. Apr 2005 A1
20050091186 Elish Apr 2005 A1
20050097441 Herbach et al. May 2005 A1
20050108231 Findleton et al. May 2005 A1
20050114763 Nonomura et al. May 2005 A1
20050125715 Franco et al. Jun 2005 A1
20050162523 Darrell et al. Jul 2005 A1
20050166144 Gross Jul 2005 A1
20050180330 Shapiro Aug 2005 A1
20050182793 Keenan et al. Aug 2005 A1
20050183005 Denoue et al. Aug 2005 A1
20050210409 Jou Sep 2005 A1
20050246327 Yeung et al. Nov 2005 A1
20050251786 Citron et al. Nov 2005 A1
20050289524 McGinnes Dec 2005 A1
20060026120 Carolan et al. Feb 2006 A1
20060026170 Kreitler et al. Feb 2006 A1
20060026561 Bauman et al. Feb 2006 A1
20060031779 Theurer et al. Feb 2006 A1
20060053097 King et al. Mar 2006 A1
20060053170 Hill et al. Mar 2006 A1
20060059139 Robinson Mar 2006 A1
20060059423 Lehmann et al. Mar 2006 A1
20060074881 Vembu et al. Apr 2006 A1
20060080139 Mainzer Apr 2006 A1
20060080316 Gilmore et al. Apr 2006 A1
20060080619 Carlson et al. Apr 2006 A1
20060093222 Saffer et al. May 2006 A1
20060095521 Patinkin May 2006 A1
20060116991 Calderwood Jun 2006 A1
20060129746 Porter Jun 2006 A1
20060136513 Ngo et al. Jun 2006 A1
20060139375 Rasmussen et al. Jun 2006 A1
20060142949 Helt Jun 2006 A1
20060143034 Rothermel Jun 2006 A1
20060143075 Carr et al. Jun 2006 A1
20060149596 Surpin et al. Jul 2006 A1
20060155654 Plessis et al. Jul 2006 A1
20060161558 Tamma et al. Jul 2006 A1
20060178915 Chao Aug 2006 A1
20060203337 White Sep 2006 A1
20060218206 Bourbonnais et al. Sep 2006 A1
20060218491 Grossman et al. Sep 2006 A1
20060218637 Thomas et al. Sep 2006 A1
20060241974 Chao et al. Oct 2006 A1
20060242040 Rader Oct 2006 A1
20060242630 Koike et al. Oct 2006 A1
20060253502 Raman et al. Nov 2006 A1
20060265397 Bryan et al. Nov 2006 A1
20060265417 Amato et al. Nov 2006 A1
20060271277 Hu et al. Nov 2006 A1
20060277460 Forstall et al. Dec 2006 A1
20060279630 Aggarwal et al. Dec 2006 A1
20070000999 Kubo et al. Jan 2007 A1
20070011150 Frank Jan 2007 A1
20070016363 Huang et al. Jan 2007 A1
20070038646 Thota Feb 2007 A1
20070038962 Fuchs et al. Feb 2007 A1
20070043686 Teng et al. Feb 2007 A1
20070050429 Goldring et al. Mar 2007 A1
20070057966 Ohno et al. Mar 2007 A1
20070061487 Moore et al. Mar 2007 A1
20070061752 Cory Mar 2007 A1
20070078832 Ott et al. Apr 2007 A1
20070083541 Fraleigh et al. Apr 2007 A1
20070094389 Nussey et al. Apr 2007 A1
20070113164 Hansen et al. May 2007 A1
20070136095 Weinstein Jun 2007 A1
20070143253 Kostamaa et al. Jun 2007 A1
20070150369 Zivin Jun 2007 A1
20070168871 Jenkins Jul 2007 A1
20070174760 Chamberlain et al. Jul 2007 A1
20070185850 Walters Aug 2007 A1
20070192265 Chopin et al. Aug 2007 A1
20070198571 Ferguson et al. Aug 2007 A1
20070208497 Downs et al. Sep 2007 A1
20070208498 Barker et al. Sep 2007 A1
20070208736 Tanigawa et al. Sep 2007 A1
20070233709 Abnous Oct 2007 A1
20070233756 D'Souza et al. Oct 2007 A1
20070240062 Christena et al. Oct 2007 A1
20070245339 Bauman et al. Oct 2007 A1
20070266336 Nojima et al. Nov 2007 A1
20070271317 Carmel Nov 2007 A1
20070284433 Domenica et al. Dec 2007 A1
20070294643 Kyle Dec 2007 A1
20070299697 Friedlander et al. Dec 2007 A1
20080015970 Brookfield et al. Jan 2008 A1
20080016155 Khalatian Jan 2008 A1
20080040684 Crump Feb 2008 A1
20080051989 Welsh Feb 2008 A1
20080052142 Bailey et al. Feb 2008 A1
20080077597 Butler Mar 2008 A1
20080077642 Carbone et al. Mar 2008 A1
20080082486 Lermant et al. Apr 2008 A1
20080091693 Murthy Apr 2008 A1
20080104019 Nath May 2008 A1
20080104149 Vishniac et al. May 2008 A1
20080109714 Kumar et al. May 2008 A1
20080126951 Sood et al. May 2008 A1
20080148398 Mezack et al. Jun 2008 A1
20080155440 Trevor et al. Jun 2008 A1
20080162616 Gross et al. Jul 2008 A1
20080172607 Baer Jul 2008 A1
20080177782 Poston et al. Jul 2008 A1
20080186904 Koyama et al. Aug 2008 A1
20080195417 Surpin et al. Aug 2008 A1
20080195608 Clover Aug 2008 A1
20080195672 Hamel et al. Aug 2008 A1
20080222295 Robinson et al. Sep 2008 A1
20080249820 Pathria et al. Oct 2008 A1
20080255973 El Wade et al. Oct 2008 A1
20080263468 Cappione et al. Oct 2008 A1
20080267107 Rosenberg Oct 2008 A1
20080270316 Guidotti et al. Oct 2008 A1
20080276167 Michael Nov 2008 A1
20080278311 Grange et al. Nov 2008 A1
20080288306 MacIntyre et al. Nov 2008 A1
20080301378 Carrie Dec 2008 A1
20080301643 Appleton et al. Dec 2008 A1
20080313132 Hao et al. Dec 2008 A1
20080313243 Poston et al. Dec 2008 A1
20090002492 Velipasalar et al. Jan 2009 A1
20090027418 Maru et al. Jan 2009 A1
20090030915 Winter et al. Jan 2009 A1
20090031247 Walter et al. Jan 2009 A1
20090031401 Cudich et al. Jan 2009 A1
20090043801 LeClair et al. Feb 2009 A1
20090055251 Shah et al. Feb 2009 A1
20090088964 Schaaf et al. Apr 2009 A1
20090089651 Herberger et al. Apr 2009 A1
20090106178 Chu Apr 2009 A1
20090106308 Killian et al. Apr 2009 A1
20090112678 Luzardo Apr 2009 A1
20090112745 Stefanescu Apr 2009 A1
20090119309 Gibson et al. May 2009 A1
20090125359 Knapic May 2009 A1
20090125369 Kloostra et al. May 2009 A1
20090125459 Norton et al. May 2009 A1
20090132921 Hwangbo et al. May 2009 A1
20090132953 Reed et al. May 2009 A1
20090143052 Bates et al. Jun 2009 A1
20090144262 White et al. Jun 2009 A1
20090144274 Fraleigh et al. Jun 2009 A1
20090150868 Chakra et al. Jun 2009 A1
20090164387 Armstrong et al. Jun 2009 A1
20090164934 Bhattiprolu et al. Jun 2009 A1
20090171939 Athsani et al. Jul 2009 A1
20090172511 Decherd et al. Jul 2009 A1
20090172821 Daira et al. Jul 2009 A1
20090177962 Gusmorino Jul 2009 A1
20090179892 Tsuda et al. Jul 2009 A1
20090187464 Bai et al. Jul 2009 A1
20090187546 Whyte et al. Jul 2009 A1
20090199106 Jonsson et al. Aug 2009 A1
20090222400 Kupershmidt et al. Sep 2009 A1
20090222759 Drieschner Sep 2009 A1
20090222760 Halverson et al. Sep 2009 A1
20090234720 George et al. Sep 2009 A1
20090248757 Havewala et al. Oct 2009 A1
20090249178 Ambrosino et al. Oct 2009 A1
20090249244 Robinson et al. Oct 2009 A1
20090254970 Agarwal et al. Oct 2009 A1
20090254971 Herz Oct 2009 A1
20090271343 Vaiciulis et al. Oct 2009 A1
20090271435 Yako et al. Oct 2009 A1
20090281839 Lynn et al. Nov 2009 A1
20090282068 Shockro et al. Nov 2009 A1
20090287470 Farnsworth et al. Nov 2009 A1
20090292626 Oxford Nov 2009 A1
20090307049 Elliott et al. Dec 2009 A1
20090313223 Rantanen Dec 2009 A1
20090313311 Hoffmann et al. Dec 2009 A1
20090313463 Pang et al. Dec 2009 A1
20090319891 MacKinlay et al. Dec 2009 A1
20100011282 Dollard et al. Jan 2010 A1
20100036831 Vemuri et al. Feb 2010 A1
20100042922 Bradateanu et al. Feb 2010 A1
20100057622 Faith et al. Mar 2010 A1
20100057716 Stefik et al. Mar 2010 A1
20100070523 Delgo et al. Mar 2010 A1
20100070842 Aymeloglu et al. Mar 2010 A1
20100070844 Aymeloglu et al. Mar 2010 A1
20100070845 Facemire et al. Mar 2010 A1
20100070897 Aymeloglu et al. Mar 2010 A1
20100076939 Iwaki et al. Mar 2010 A1
20100082541 Kottomtharayil Apr 2010 A1
20100098318 Anderson Apr 2010 A1
20100100963 Mahaffey Apr 2010 A1
20100103124 Kruzeniski et al. Apr 2010 A1
20100114817 Broeder et al. May 2010 A1
20100114831 Gilbert et al. May 2010 A1
20100114887 Conway et al. May 2010 A1
20100122152 Chamberlain et al. May 2010 A1
20100131457 Heimendinger May 2010 A1
20100138842 Balko et al. Jun 2010 A1
20100145909 Ngo Jun 2010 A1
20100161565 Lee et al. Jun 2010 A1
20100161688 Kesselman et al. Jun 2010 A1
20100162176 Dunton Jun 2010 A1
20100191563 Schlaifer et al. Jul 2010 A1
20100191884 Holenstein et al. Jul 2010 A1
20100198684 Eraker et al. Aug 2010 A1
20100199225 Coleman et al. Aug 2010 A1
20100211550 Daniello et al. Aug 2010 A1
20100211618 Anderson et al. Aug 2010 A1
20100223260 Wu Sep 2010 A1
20100228812 Uomini Sep 2010 A1
20100235606 Oreland et al. Sep 2010 A1
20100238174 Haub et al. Sep 2010 A1
20100250412 Wagner Sep 2010 A1
20100262901 DiSalvo Oct 2010 A1
20100280851 Merkin Nov 2010 A1
20100280857 Liu et al. Nov 2010 A1
20100283787 Hamedi et al. Nov 2010 A1
20100293174 Bennett et al. Nov 2010 A1
20100306713 Geisner et al. Dec 2010 A1
20100306722 LeHoty et al. Dec 2010 A1
20100313119 Baldwin et al. Dec 2010 A1
20100313239 Chakra et al. Dec 2010 A1
20100318924 Frankel et al. Dec 2010 A1
20100321399 Ellren et al. Dec 2010 A1
20100325526 Ellis et al. Dec 2010 A1
20100325581 Finkelstein et al. Dec 2010 A1
20100330801 Rouh Dec 2010 A1
20110029498 Ferguson et al. Feb 2011 A1
20110029526 Knight et al. Feb 2011 A1
20110047159 Baid et al. Feb 2011 A1
20110047540 Williams Feb 2011 A1
20110060753 Shaked et al. Mar 2011 A1
20110061013 Bilicki et al. Mar 2011 A1
20110066933 Ludwig Mar 2011 A1
20110074788 Regan et al. Mar 2011 A1
20110074811 Hanson et al. Mar 2011 A1
20110078055 Faribault et al. Mar 2011 A1
20110078173 Seligmann et al. Mar 2011 A1
20110093327 Fordyce, III et al. Apr 2011 A1
20110099133 Chang et al. Apr 2011 A1
20110117878 Barash et al. May 2011 A1
20110119100 Ruhl et al. May 2011 A1
20110137766 Rasmussen et al. Jun 2011 A1
20110153384 Horne et al. Jun 2011 A1
20110161096 Buehler et al. Jun 2011 A1
20110161409 Nair et al. Jun 2011 A1
20110167105 Ramakrishnan et al. Jul 2011 A1
20110170799 Carrino et al. Jul 2011 A1
20110173032 Payne et al. Jul 2011 A1
20110173093 Psota et al. Jul 2011 A1
20110173619 Fish Jul 2011 A1
20110179048 Satlow Jul 2011 A1
20110184813 Barne et al. Jul 2011 A1
20110185316 Reid et al. Jul 2011 A1
20110208565 Ross et al. Aug 2011 A1
20110208724 Jones et al. Aug 2011 A1
20110213655 Henkin Sep 2011 A1
20110218934 Elser Sep 2011 A1
20110219450 McDougal et al. Sep 2011 A1
20110225198 Edwards et al. Sep 2011 A1
20110225482 Chan et al. Sep 2011 A1
20110238495 Kang Sep 2011 A1
20110238553 Raj et al. Sep 2011 A1
20110251951 Kolkowitz Oct 2011 A1
20110258158 Resende et al. Oct 2011 A1
20110258242 Eidson et al. Oct 2011 A1
20110270705 Parker Nov 2011 A1
20110270812 Ruby Nov 2011 A1
20110289397 Eastmond et al. Nov 2011 A1
20110289407 Naik et al. Nov 2011 A1
20110289420 Morioka et al. Nov 2011 A1
20110291851 Whisenant Dec 2011 A1
20110310005 Chen et al. Dec 2011 A1
20110314007 Dassa et al. Dec 2011 A1
20120004894 Butler et al. Jan 2012 A1
20120013684 Robertson et al. Jan 2012 A1
20120019559 Siler et al. Jan 2012 A1
20120022945 Falkenborg et al. Jan 2012 A1
20120036013 Neuhaus et al. Feb 2012 A1
20120036434 Oberstein Feb 2012 A1
20120050293 Carlhian et al. Mar 2012 A1
20120059853 Jagota Mar 2012 A1
20120066296 Appleton et al. Mar 2012 A1
20120072825 Sherkin et al. Mar 2012 A1
20120079363 Folting et al. Mar 2012 A1
20120084117 Tavares et al. Apr 2012 A1
20120084118 Bai et al. Apr 2012 A1
20120084184 Raleigh et al. Apr 2012 A1
20120106801 Jackson May 2012 A1
20120117082 Koperda et al. May 2012 A1
20120123989 Yu May 2012 A1
20120131512 Takeuchi et al. May 2012 A1
20120137235 T S et al. May 2012 A1
20120144335 Abeln et al. Jun 2012 A1
20120150791 Willson Jun 2012 A1
20120159307 Chung et al. Jun 2012 A1
20120159362 Brown et al. Jun 2012 A1
20120159399 Bastide et al. Jun 2012 A1
20120170847 Tsukidate Jul 2012 A1
20120173985 Peppel Jul 2012 A1
20120180002 Campbell et al. Jul 2012 A1
20120188252 Law Jul 2012 A1
20120196557 Reich et al. Aug 2012 A1
20120196558 Reich et al. Aug 2012 A1
20120197651 Robinson et al. Aug 2012 A1
20120197657 Prodanovich Aug 2012 A1
20120197660 Prodanovich Aug 2012 A1
20120203708 Psota et al. Aug 2012 A1
20120208636 Feige Aug 2012 A1
20120215784 King et al. Aug 2012 A1
20120221511 Gibson et al. Aug 2012 A1
20120221553 Wittmer et al. Aug 2012 A1
20120221580 Barney Aug 2012 A1
20120226590 Love et al. Sep 2012 A1
20120245976 Kumar et al. Sep 2012 A1
20120246148 Dror Sep 2012 A1
20120254129 Wheeler et al. Oct 2012 A1
20120284345 Costenaro et al. Nov 2012 A1
20120284670 Kashik et al. Nov 2012 A1
20120290879 Shibuya et al. Nov 2012 A1
20120296907 Long et al. Nov 2012 A1
20120311684 Paulsen et al. Dec 2012 A1
20120323888 Osann, Jr. Dec 2012 A1
20120330801 McDougal et al. Dec 2012 A1
20120330908 Stowe et al. Dec 2012 A1
20120330973 Ghuneim et al. Dec 2012 A1
20130006426 Healey et al. Jan 2013 A1
20130006725 Simanek et al. Jan 2013 A1
20130006916 McBride et al. Jan 2013 A1
20130016106 Yip et al. Jan 2013 A1
20130018796 Kolhatkar et al. Jan 2013 A1
20130024268 Manickavelu Jan 2013 A1
20130036346 Cicerone Feb 2013 A1
20130046635 Grigg et al. Feb 2013 A1
20130046842 Muntz et al. Feb 2013 A1
20130060786 Serrano et al. Mar 2013 A1
20130061169 Pearcy et al. Mar 2013 A1
20130073377 Heath Mar 2013 A1
20130073454 Busch Mar 2013 A1
20130078943 Biage et al. Mar 2013 A1
20130086482 Parsons Apr 2013 A1
20130097130 Bingol et al. Apr 2013 A1
20130097482 Marantz et al. Apr 2013 A1
20130110822 Ikeda et al. May 2013 A1
20130110877 Bonham et al. May 2013 A1
20130111320 Campbell et al. May 2013 A1
20130117651 Waldman et al. May 2013 A1
20130150004 Rosen Jun 2013 A1
20130151148 Parundekar et al. Jun 2013 A1
20130151305 Akinola et al. Jun 2013 A1
20130151388 Falkenborg et al. Jun 2013 A1
20130151453 Bhanot et al. Jun 2013 A1
20130157234 Gulli et al. Jun 2013 A1
20130166348 Scotto Jun 2013 A1
20130166480 Popescu et al. Jun 2013 A1
20130166550 Buchmann et al. Jun 2013 A1
20130176321 Mitchell et al. Jul 2013 A1
20130179420 Park et al. Jul 2013 A1
20130224696 Wolfe et al. Aug 2013 A1
20130225212 Khan Aug 2013 A1
20130226318 Procyk Aug 2013 A1
20130226953 Markovich et al. Aug 2013 A1
20130232045 Tai Sep 2013 A1
20130238616 Rose et al. Sep 2013 A1
20130246170 Gross et al. Sep 2013 A1
20130251233 Yang et al. Sep 2013 A1
20130262527 Hunter et al. Oct 2013 A1
20130263019 Castellanos et al. Oct 2013 A1
20130267207 Hao et al. Oct 2013 A1
20130268520 Fisher et al. Oct 2013 A1
20130279757 Kephart Oct 2013 A1
20130282696 John et al. Oct 2013 A1
20130290011 Lynn et al. Oct 2013 A1
20130290825 Arndt et al. Oct 2013 A1
20130297619 Chandrasekaran et al. Nov 2013 A1
20130304770 Boero et al. Nov 2013 A1
20130311375 Priebatsch Nov 2013 A1
20130318060 Chang et al. Nov 2013 A1
20140019936 Cohanoff Jan 2014 A1
20140032506 Hoey et al. Jan 2014 A1
20140033010 Richardt et al. Jan 2014 A1
20140040371 Gurevich et al. Feb 2014 A1
20140047319 Eberlein Feb 2014 A1
20140047357 Alfaro et al. Feb 2014 A1
20140059038 McPherson et al. Feb 2014 A1
20140067611 Adachi et al. Mar 2014 A1
20140068487 Steiger et al. Mar 2014 A1
20140074855 Zhao et al. Mar 2014 A1
20140095273 Tang et al. Apr 2014 A1
20140095509 Patton Apr 2014 A1
20140108068 Williams Apr 2014 A1
20140108380 Gotz et al. Apr 2014 A1
20140108985 Scott et al. Apr 2014 A1
20140129261 Bothwell et al. May 2014 A1
20140129936 Richards May 2014 A1
20140149272 Hirani et al. May 2014 A1
20140149436 Bahrami et al. May 2014 A1
20140156527 Grigg et al. Jun 2014 A1
20140157172 Peery et al. Jun 2014 A1
20140164502 Khodorenko et al. Jun 2014 A1
20140189536 Lange et al. Jul 2014 A1
20140195515 Baker et al. Jul 2014 A1
20140195887 Ellis et al. Jul 2014 A1
20140208281 Ming Jul 2014 A1
20140214579 Shen et al. Jul 2014 A1
20140222521 Chait Aug 2014 A1
20140222793 Sadkin et al. Aug 2014 A1
20140244284 Smith Aug 2014 A1
20140244388 Manouchehri et al. Aug 2014 A1
20140267294 Ma Sep 2014 A1
20140267295 Sharma Sep 2014 A1
20140279824 Tamayo Sep 2014 A1
20140310266 Greenfield Oct 2014 A1
20140316911 Gross Oct 2014 A1
20140333651 Cervelli et al. Nov 2014 A1
20140337772 Cervelli et al. Nov 2014 A1
20140344230 Krause et al. Nov 2014 A1
20140344231 Stowe et al. Nov 2014 A1
20140358829 Hurwitz Dec 2014 A1
20150019394 Unser et al. Jan 2015 A1
20150026622 Roaldson et al. Jan 2015 A1
20150046870 Goldenberg et al. Feb 2015 A1
20150073954 Braff Mar 2015 A1
20150089353 Folkening Mar 2015 A1
20150089424 Duffield et al. Mar 2015 A1
20150100897 Sun et al. Apr 2015 A1
20150100907 Erenrich et al. Apr 2015 A1
20150106347 McGrew et al. Apr 2015 A1
20150106379 Elliot et al. Apr 2015 A1
20150112956 Chang et al. Apr 2015 A1
20150134666 Gattiker et al. May 2015 A1
20150169709 Kara et al. Jun 2015 A1
20150169726 Kara et al. Jun 2015 A1
20150170077 Kara et al. Jun 2015 A1
20150178825 Huerta Jun 2015 A1
20150178877 Bogomolov et al. Jun 2015 A1
20150186483 Tappan et al. Jul 2015 A1
20150186821 Wang et al. Jul 2015 A1
20150187036 Wang et al. Jul 2015 A1
20150212663 Papale Jul 2015 A1
20150227295 Meiklejohn et al. Aug 2015 A1
20150254220 Burr et al. Sep 2015 A1
20150261817 Harris et al. Sep 2015 A1
20150309719 Ma et al. Oct 2015 A1
20150317342 Grossman et al. Nov 2015 A1
20150324868 Kaftan et al. Nov 2015 A1
20160062555 Ward et al. Mar 2016 A1
Foreign Referenced Citations (50)
Number Date Country
2013251186 Nov 2015 AU
2014206155 Dec 2015 AU
102054015 May 2014 CN
102014103482 Sep 2014 DE
102014215621 Feb 2015 DE
0 652 513 May 1995 EP
1672527 Jun 2006 EP
2551799 Jan 2013 EP
2555126 Feb 2013 EP
2560134 Feb 2013 EP
2778977 Sep 2014 EP
2835745 Feb 2015 EP
2835770 Feb 2015 EP
2838039 Feb 2015 EP
2846241 Mar 2015 EP
2851852 Mar 2015 EP
2858014 Apr 2015 EP
2858018 Apr 2015 EP
2863326 Apr 2015 EP
2863346 Apr 2015 EP
2869211 May 2015 EP
2881868 Jun 2015 EP
2884439 Jun 2015 EP
2884440 Jun 2015 EP
2891992 Jul 2015 EP
2911078 Aug 2015 EP
2911100 Aug 2015 EP
2940603 Nov 2015 EP
2940609 Nov 2015 EP
2993595 Mar 2016 EP
2516155 Jan 2015 GB
2518745 Apr 2015 GB
2012778 Nov 2014 NL
2013306 Feb 2015 NL
624557 Dec 2014 NZ
WO 0009529 Feb 2000 WO
WO 0125906 Apr 2001 WO
WO 0188750 Nov 2001 WO
WO 02065353 Aug 2002 WO
WO 2005104736 Nov 2005 WO
WO 2007133206 Nov 2007 WO
WO 2008064207 May 2008 WO
WO 2009061501 May 2009 WO
WO 2010000014 Jan 2010 WO
WO 2010030913 Mar 2010 WO
WO 2010030914 Mar 2010 WO
WO 2012025915 Mar 2012 WO
WO 2012119008 Sep 2012 WO
WO 2013010157 Jan 2013 WO
WO 2013102892 Jul 2013 WO
Non-Patent Literature Citations (290)
Entry
“A First Look: Predicting Market Demand for Food Retail using a Huff Analysis,” TRF Policy Solutions, Jul. 2012, pp. 30.
“A Quick Guide to UniProtKB Swiss-Prot & TrEMBL,” Sep. 2011, pp. 2.
“A Word About Banks and the Laundering of Drug Money,” Aug. 18, 2012, http://www.golemxiv.co.uk/2012/08/a-word-about-banks-and-the-laundering-of-drug-money/.
Acklen, Laura, “Absolute Beginner's Guide to Microsoft Word 2003,” Dec. 24, 2003, pp. 15-18, 34-41, 308-316.
Amnet, “5 Great Tools for Visualizing Your Twitter Followers,” posted Aug. 4, 2010, http://www.amnetblog.com/component/content/article/115-5-grate-tools-for-visualizing-your-twitter-followers.html.
Ananiev et al., “The New Modality API,” http://web.archive.org/web/20061211011958/http://java.sun.com/developer/technicalArticles/J2SE/Desktop/javase6/modality/ Jan. 21, 2006, pp. 8.
Antoshenkov, Gennady, “Dictionary-Based Order-Preserving String Compression,” The VLDB Journal, 1997, vol. 6, pp. 26-39.
“Apache HBase,” <http://hbase.apache.org/> printed Sep. 14, 2011 in 1 page.
“BackTult—JD Edwards One World Version Control System,” printed Jul. 23, 2007 in 1 page.
Baker et al., “Megastore: Providing Scalable, Highly Available Storage for Interactive Services,” 5th Biennial Conference on Innovative Data Systems Research (CIDR '11), Jan. 9-12, 2011, Asilomar, California, pp. 12.
Bernstein et al., “Hyder—A Transactional Record Manager for Shared Flash,” 5th Biennial Conference on Innovative Data Systems Research (CIDR '11), Jan. 9-12, 2011, Asilomar, California, pp. 12.
Bluttman et al., “Excel Formulas and Functions for Dummies,” 2005, Wiley Publishing, Inc., pp. 280, 284-286.
Boyce, Jim, “Microsoft Outlook 2010 Inside Out,” Aug. 1, 2010, retrieved from the internet https://capdtron.files.wordpress.com/2013/01/outlook-2010-inside—out.pdf.
Bugzilla@Mozilla, “Bug 18726—[feature] Long-click means of invoking contextual menus not supported,” http://bugzilla.mozilla.org/show—bug.cgi?id=18726 printed Jun. 13, 2013 in 11 pages.
Canese et al., “Chapter 2: PubMed: The Bibliographic Database,” The NCBI Handbook, Oct. 2002, pp. 1-10.
Celik, Tantek, “CSS Basic User Interface Module Level 3 (CSS3 UI),” Section 8 Resizing and Overflow, Jan. 17, 2012, retrieved from internet http://www.w3.org/TR/2012/WD-css3-ui-20120117/#resizing-amp-overflow retrieved on May 18, 2015.
Chang et al., “Bigtable: A Distributed Storage System for Structured Data”, Google, Inc., OSDI'06: Seventh Symposium on Operating System Design and Implementation, Seattle, WA, Nov. 2006, pp. 14.
Chen et al., “Bringing Order to the Web: Automatically Categorizing Search Results,” CHI 2000, Proceedings of the SIGCHI conference on Human Factors in Computing Systems, Apr. 1-6, 2000, The Hague, The Netherlands, pp. 145-152.
Chung, Chin-Wan, “Dataplex: An Access to Heterogeneous Distributed Databases,” Communications of the ACM, Association for Computing Machinery, Inc., vol. 33, No. 1, Jan. 1, 1990, pp. 70-80.
Conner, Nancy, “Google Apps: The Missing Manual,” May 1, 2008, pp. 15.
Definition “Identify” downloaded Jan. 22, 2015, 1 page.
Definition “Overlay” downloaded Jan. 22, 2015, 1 page.
Delcher et al., “Identifying Bacterial Genes and Endosymbiont DNA with Glimmer,” BioInformatics, vol. 23, No. 6, 2007, pp. 673-679.
Dramowicz, Ela, “Retail Trade Area Analysis Using the Huff Model,” Directions Magazine, Jul. 2, 2005 in 10 pages, http://www.directionsmag.com/articles/retail-trade-area-analysis-using-the-huff-model/123411.
Dreyer et al., “An Object-Oriented Data Model for a Time Series Management System,” Proceedings of the 7th International Working Conference on Scientific and Statistical Database Management, Charlottesville, Virginia USA, Sep. 28-30, 1994, pp. 12.
Elmasri et al., “Fundamentals of Database Systems,” 2004, Fourth Edition, pp. 455-491.
GIS-NET 3 Public—Department of Regional Planning. Planning & Zoning Information for Unincorporated LA County. Retrieved Oct. 2, 2013 from http://gis.planning.lacounty.gov/GIS-NET3—Public/Viewer.html.
Goswami, Gautam, “Quite Writly Said!,” One Brick at a Time, Aug. 21, 2005, pp. 7.
Griffith, Daniel A., “A Generalized Huff Model,” Geographical Analysis, Apr. 1982, vol. 14, No. 2, pp. 135-144.
Hansen et al. “Analyzing Social Media Networks with NodeXL: Insights from a Connected World”, Chapter 4, pp. 53-67 and Chapter 10, pp. 143-164, published Sep. 2010.
Hardesty, “Privacy Challenges: Analysis: It's Surprisingly Easy to Identify Individuals from Credit-Card Metadata,” MIT News on Campus and Around the World, MIT News Office, Jan. 29, 2015, 3 pages.
Hibbert et al., “Prediction of Shopping Behavior Using a Huff Model Within a GIS Framework,” Healthy Eating in Context, Mar. 18, 2011, pp. 16.
Hogue et al., “Thresher: Automating the Unwrapping of Semantic Content from the World Wide Web,” 14th International Conference on World Wide Web, WWW 2005: Chiba, Japan, May 10-14, 2005, pp. 86-95.
Huff et al., “Calibrating the Huff Model Using ArcGIS Business Analyst,” ESRI, Sep. 2008, pp. 33.
Huff, David L., “Parameter Estimation in the Huff Model,” ESRI, ArcUser, Oct.-Dec. 2003, pp. 34-36.
Kahan et al., “Annotea: an open RDF infrastructure for shared WEB annotations”, Computer Networks 39, pp. 589-608, 2002.
Keylines.com, “An Introduction to KeyLines and Network Visualization,” Mar. 2014, <http://keylines.com/wp-content/uploads/2014/03/KeyLines-White-Paper.pdf> downloaded May 12, 2014 in 8 pages.
Keylines.com, “KeyLines Datasheet,” Mar. 2014, <http://keylines.com/wp-content/uploads/2014/03/KeyLines-datasheet.pdf> downloaded May 12, 2014 in 2 pages.
Keylines.com, “Visualizing Threats: Improved Cyber Security Through Network Visualization,” Apr. 2014, <http://keylines.com/wp-content/uploads/2014/04/Visualizing-Threats1.pdf> downloaded May 12, 2014 in 10 pages.
Kitts, Paul, “Chapter 14: Genome Assembly and Annotation Process,” The NCBI Handbook, Oct. 2002, pp. 1-21.
Klemmer et al., “Where Do Web Sites Come From? Capturing and Interacting with Design History,” Association for Computing Machinery, CHI 2002, Apr. 20-25, 2002, Minneapolis, MN, pp. 8.
Kokossi et al., “D7-Dynamic Ontoloty Management System (Design),” Information Societies Technology Programme, Jan. 10, 2002, pp. 1-27.
Li et al., “Interactive Multimodal Visual Search on Mobile Device,” IEEE Transactions on Multimedia, vol. 15, No. 3, Apr. 1, 2013, pp. 594-607.
Liu, Tianshun, “Combining GIS and the Huff Model to Analyze Suitable Locations for a New Asian Supermarket in the Minneapolis and St. Paul, Minnesota USA,” Papers in Resource Analysis, 2012, vol. 14, pp. 8.
Madden, Tom, “Chapter 16: The BLAST Sequence Analysis Tool,” The NCBI Handbook, Oct. 2002, pp. 1-15.
Manno et al., “Introducing Collaboration in Single-user Applications through the Centralized Control Architecture,” 2010, pp. 10.
Manske, “File Saving Dialogs,” <http://www.mozilla.org/editor/ui—specs/FileSaveDialogs.html>, Jan. 20, 1999, pp. 7.
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.bing.com.
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.google.com.
Map of San Jose, CA. Retrieved Oct. 2, 2013 from http://maps.yahoo.com.
Mentzas et al. “An Architecture for Intelligent Assistance in the Forecasting Process,” Proceedings of the Twenty-Eighth Hawaii International Conference on System Sciences, Jan. 3-6, 1995, vol. 3, pp. 167-176.
Microsoft—Developer Network, “Getting Started with VBA in Word 2010,” Apr. 2010, <http://msdn.microsoft.com/en-us/library/ff604039%28v=office.14%29.aspx> as printed Apr. 4, 2014 in 17 pages.
Microsoft Office—Visio, “About connecting shapes,” <http://office.microsoft.com/en-us/visio-help/about-connecting-shapes-HP085050369.aspx> printed Aug. 4, 2011 in 6 pages.
Microsoft Office—Visio, “Add and glue connectors with the Connector tool,” <http://office.microsoft.com/en-us/visio-help/add-and-glue-connectors-with-the-connector-tool-HA010048532.aspx?CTT=1> printed Aug. 4, 2011 in 1 page.
Miklau et al., “Securing History: Privacy and Accountability in Database Systems,” 3rd Biennial Conference on Innovative Data Systems Research (CIDR), Jan. 7-10, 2007, Asilomar, California, pp. 387-396.
Mizrachi, Ilene, “Chapter 1: GenBank: The Nuckeotide Sequence Database,” The NCBI Handbook, Oct. 2002, pp. 1-14.
Niepert et al., “A Dynamic Ontology for a Dynamic Reference Work”, Joint Conference on Digital Libraries, Jun. 17-22, 2007, Vancouver, British Columbia, Canada, pp. 1-10.
Nierman, “Evaluating Structural Similarity in XML Documents,” 2002, 6 pages.
Olanoff, Drew, “Deep Dive with the New Google Maps for Desktop with Google Earth Integration, It's More than Just a Utility,” May 15, 2013, pp. 1-6, retrieved from the internet: http://web.archive.org/web/20130515230641/http://techcrunch.com/2013/05/15/deep-dive-with-the-new-google-maps-for-desktop-with-google-earth-integration-its-more-than-just-a-utility/.
Palmas et al., “An Edge-Bunding Layout for Interactive Parallel Coordinates” 2014 IEEE Pacific Visualization Symposium, pp. 57-64.
Peng et al., “Large-scale Incremental Processing Using Distributed Transactions and Notifications” Proceedings of the 9th USENIX Symposium on Operating Systems Design and Implementation, USENIX, 2010, pp. 14.
“Potential Money Laundering Warning Signs,” snapshot taken 2003, https://web.archive.org/web/20030816090055/http:/finsolinc.com/ANTI-MONEY%20LAUNDERING%20TRAINING%20GUIDES.pdf.
“Refresh CSS Ellipsis When Resizing Container—Stack Overflow,” Jul. 31, 2013, retrieved from internet http://stackoverflow.com/questions/17964681/refresh-css-ellipsis-when-resizing-container, retrieved on May 18, 2015.
Rouse, Margaret, “OLAP Cube,” <http://searchdatamanagement.techtarget.com/definition/OLAP-cube>, Apr. 28, 2012, pp. 16.
Sigrist, et al., “PROSITE, a Protein Domain Database for Functional Characterization and Annotation,” Nucleic Acids Research, 2010, vol. 38, pp. D161-D166.
Sirotkin et al., “Chapter 13: The Processing of Biological Sequence Data at NCBI,” The NCBI Handbook, Oct. 2002, pp. 1-11.
“The Apache Cassandra Project,” <http://cassandra.apache.org/> printed Sep. 14, 2011 in 3 pages.
“The FASTA Program Package,” fasta-36.3.4, Mar. 25, 2011, pp. 29.
Thomson et al., “The Case for Determinism in Database Systems,” The 36th International Conference on Very Large Data Bases, Sep. 13-17, 2010, Singapore, Proceedings of the VLDB Endowment, vol. 3, No. 1, pp. 11.
Thompson, Mick, “Getting Started with GEO,” Getting Started with GEO, Jul. 26, 2011.
Umagandhi et al., “Search Query Recommendations Using Hybrid User Profile with Query Logs,” International Journal of Computer Applications, vol. 80, No. 10, Oct. 1, 2013, pp. 7-18.
Wikipedia, “Federated Database System,” Sep. 7, 2013, retrieved from the internet on Jan. 27, 2015 http://en.wikipedia.org/w/index.php?title=Federated—database—system&oldid=571954221.
Wollrath et al., “A Distributed Object Model for the Java System,” Conference on Object-Oriented Technologies and Systems, Jun. 17-21, 1996, pp. 219-231.
Yang et al., “HTML Page Analysis Based on Visual Cues,” 2001, pp. 859-864.
Notice of Allowance for U.S. Appl. No. 13/826,228 dated Mar. 27, 2015.
Notice of Allowance for U.S. Appl. No. 14/102,394 dated Aug. 25, 2014.
Notice of Allowance for U.S. Appl. No. 14/108,187 dated Aug. 29, 2014.
Notice of Allowance for U.S. Appl. No. 14/135,289 dated Oct. 14, 2014.
Notice of Allowance for U.S. Appl. No. 14/192,767 dated Dec. 16, 2014.
Notice of Allowance for U.S. Appl. No. 14/225,084 dated May 4, 2015.
Notice of Allowance for U.S. Appl. No. 14/268,964 dated Dec. 3, 2014.
Notice of Allowance for U.S. Appl. No. 14/294,098 dated Dec. 29, 2014.
Notice of Allowance for U.S. Appl. No. 14/451,221 dated Aug. 4, 2015.
Notice of Allowance for U.S. Appl. No. 14/473,552 dated Jul. 24, 2015.
Notice of Allowance for U.S. Appl. No. 14/473,860 dated Jan. 5, 2015.
Notice of Allowance for U.S. Appl. No. 14/486,991 dated May 1, 2015.
Notice of Allowance for U.S. Appl. No. 14/504,103 dated May 18, 2015.
Notice of Allowance for U.S. Appl. No. 14/616,080 dated Apr. 2, 2015.
Official Communication for Australian Patent Application No. 2014201511 dated Feb. 27, 2015.
Official Communication for Australian Patent Application No. 2014202442 dated Mar. 19, 2015.
Official Communication for Australian Patent Application No. 2014210604 dated Jun. 5, 2015.
Official Communication for Australian Patent Application No. 2014210614 dated Jun. 5, 2015.
Official Communication for Australian Patent Application No. 2014213553 dated May 7, 2015.
Official Communication for Australian Patent Application No. 2014250678 dated Jun. 17, 2015.
Official Communication for European Patent Application No. 14158861.6 dated Jun. 16, 2014.
Official Communication for European Patent Application No. 14159464.8 dated Jul. 31, 2014.
Official Communication for European Patent Application No. 14180142.3 dated Feb. 6, 2015.
Official Communication for European Patent Application No. 14180281.9 dated Jan. 26, 2015.
Official Communication for European Patent Application No. 14180321.3 dated Apr. 17, 2015.
Official Communication for European Patent Application No. 14180432.8 dated Jun. 23, 2015.
Official Communication for European Patent Application No. 14186225.0 dated Feb. 13, 2015.
Official Communication for European Patent Application No. 14187739.9 dated Jul. 6, 2015.
Official Communication for European Patent Application No. 14187996.5 dated Feb. 12, 2015.
Official Communication for European Patent Application No. 14189344.6 dated Feb. 20, 2015.
Official Communication for European Patent Application No. 14189347.9 dated Mar. 4, 2015.
Official Communication for European Patent Application No. 14189802.3 dated May 11, 2015.
Official Communication for European Patent Application No. 14191540.5 dated May 27, 2015.
Official Communication for European Patent Application No. 14197879.1 dated Apr. 28, 2015.
Official Communication for European Patent Application No. 14197895.7 dated Apr. 28, 2015.
Official Communication for European Patent Application No. 14199182.8 dated Mar. 13, 2015.
Official Communication for Great Britain Patent Application No. 1404457.2 dated Aug. 14, 2014.
Official Communication for Great Britain Patent Application No. 1404574.4 dated Dec. 18, 2014.
Official Communication for Great Britain Patent Application No. 1408025.3 dated Nov. 6, 2014.
Official Communication for Great Britain Patent Application No. 1411984.6 dated Dec. 22, 2014.
Official Communication for Great Britain Patent Application No. 1413935.6 dated Jan. 27, 2015.
Official Communication for Netherlands Patent Application No. 2013306 dated Apr. 24, 2015.
Official Communication for New Zealand Patent Application No. 622513 dated Apr. 3, 2014.
Official Communication for New Zealand Patent Application No. 622517 dated Apr. 3, 2014.
Official Communication for New Zealand Patent Application No. 624557 dated May 14, 2014.
Official Communication for New Zealand Patent Application No. 627962 dated Aug. 5, 2014.
Official Communication for New Zealand Patent Application No. 628161 dated Aug. 25, 2014.
Official Communication for New Zealand Patent Application No. 628263 dated Aug. 12, 2014.
Official Communication for New Zealand Patent Application No. 628495 dated Aug. 19, 2014.
Official Communication for New Zealand Patent Application No. 628585 dated Aug. 26, 2014.
Official Communication for New Zealand Patent Application No. 628840 dated Aug. 28, 2014.
Official Communication for U.S. Appl. No. 12/556,318 dated Jul. 2, 2015.
Official Communication for U.S. Appl. No. 13/247,987 dated Apr. 2, 2015.
Official Communication for U.S. Appl. No. 13/831,791 dated Mar. 4, 2015.
Official Communication for U.S. Appl. No. 13/831,791 dated Aug. 6, 2015.
Official Communication for U.S. Appl. No. 13/835,688 dated Jun. 17, 2015.
Official Communication for U.S. Appl. No. 13/839,026 dated Aug. 4, 2015.
Official Communication for U.S. Appl. No. 14/148,568 dated Oct. 22, 2014.
Official Communication for U.S. Appl. No. 14/148,568 dated Mar. 26, 2015.
Official Communication for U.S. Appl. No. 14/196,814 dated May 5, 2015.
Official Communication for U.S. Appl. No. 14/225,006 dated Sep. 10, 2014.
Official Communication for U.S. Appl. No. 14/225,006 dated Sep. 2, 2015.
Official Communication for U.S. Appl. No. 14/225,006 dated Feb. 27, 2015.
Official Communication for U.S. Appl. No. 14/225,084 dated Sep. 2, 2014.
Official Communication for U.S. Appl. No. 14/225,084 dated Feb. 20, 2015.
Official Communication for U.S. Appl. No. 14/225,160 dated Feb. 11, 2015.
Official Communication for U.S. Appl. No. 14/225,160 dated Aug. 12, 2015.
Official Communication for U.S. Appl. No. 14/225,160 dated May 20, 2015.
Official Communication for U.S. Appl. No. 14/225,160 dated Oct. 22, 2014.
Official Communication for U.S. Appl. No. 14/225,160 dated Jul. 29, 2014.
Official Communication for U.S. Appl. No. 14/268,964 dated Sep. 3, 2014.
Official Communication for U.S. Appl. No. 14/278,963 dated Jan. 30, 2015.
Official Communication for U.S. Appl. No. 14/289,596 dated Jul. 18, 2014.
Official Communication for U.S. Appl. No. 14/289,596 dated Jan. 26, 2015.
Official Communication for U.S. Appl. No. 14/289,596 dated Apr. 30, 2015.
Official Communication for U.S. Appl. No. 14/289,599 dated Jul. 22, 2014.
Official Communication for U.S. Appl. No. 14/289,599 dated May 29, 2015.
Official Communication for U.S. Appl. No. 14/294,098 dated Aug. 15, 2014.
Official Communication for U.S. Appl. No. 14/294,098 dated Nov. 6, 2014.
Official Communication for U.S. Appl. No. 14/306,138 dated Feb. 18, 2015.
Official Communication for U.S. Appl. No. 14/306,138 dated Sep. 23, 2014.
Official Communication for U.S. Appl. No. 14/306,138 dated May 26, 2015.
Official Communication for U.S. Appl. No. 14/306,147 dated Feb. 19, 2015.
Official Communication for U.S. Appl. No. 14/306,147 dated Aug. 7, 2015.
Official Communication for U.S. Appl. No. 14/306,147 dated Sep. 9, 2014.
Official Communication for U.S. Appl. No. 14/306,154 dated Mar. 11, 2015.
Official Communication for U.S. Appl. No. 14/306,154 dated May 15, 2015.
Official Communication for U.S. Appl. No. 14/306,154 dated Jul. 6, 2015.
Official Communication for U.S. Appl. No. 14/306,154 dated Sep. 9, 2014.
Official Communication for U.S. Appl. No. 14/319,765 dated Jun. 16, 2015.
Official Communication for U.S. Appl. No. 14/319,765 dated Nov. 25, 2014.
Official Communication for U.S. Appl. No. 14/319,765 dated Feb. 4, 2015.
Official Communication for U.S. Appl. No. 14/323,935 dated Jun. 22, 2015.
Official Communication for U.S. Appl. No. 14/323,935 dated Nov. 28, 2014.
Official Communication for U.S. Appl. No. 14/323,935 dated Mar. 31, 2015.
Official Communication for U.S. Appl. No. 14/326,738 dated Dec. 2, 2014.
Official Communication for U.S. Appl. No. 14/326,738 dated Jul. 31, 2015.
Official Communication for U.S. Appl. No. 14/326,738 dated Mar. 31, 2015.
Official Communication for U.S. Appl. No. 14/451,221 dated Apr. 6, 2015.
Official Communication for U.S. Appl. No. 14/473,552 dated Feb. 24, 2015.
Official Communication for U.S. Appl. No. 14/486,991 dated Mar. 10, 2015.
Official Communication for U.S. Appl. No. 14/504,103 dated Mar. 31, 2015.
Official Communication for U.S. Appl. No. 14/504,103 dated Feb. 5, 2015.
Official Communication for U.S. Appl. No. 14/579,752 dated Aug. 19, 2015.
Official Communication for U.S. Appl. No. 14/579,752 dated May 26, 2015.
Official Communication for U.S. Appl. No. 14/580,218 dated Jun. 26, 2015.
Official Communication for U.S. Appl. No. 14/631,633 dated Sep. 10, 2015.
Official Communication for U.S. Appl. No. 14/639,606 dated May 18, 2015.
Official Communication for U.S. Appl. No. 14/639,606 dated Jul. 24, 2015.
Official Communication for U.S. Appl. No. 14/734,772 dated Jul. 24, 2015.
About 80 Minutes, “Palantir in a Number of Parts—Part 6—Graph,” Mar. 21, 2013, pp. 1-6.
Alur et al., “Chapter 2: IBM InfoSphere DataStage Stages,” IBM InfoSphere DataStage Data Flow and Job Design, Jul. 1, 2008, pp. 35-137.
Gesher, Ari, “Palantir Screenshots in the Wild: Swing Sightings,” The Palantir Blog, Sep. 11, 2007, pp. 1-12.
Huang et al., “Systematic and Integrative Analysis of Large Gene Lists Using DAVID Bioinformatics Resources,” Nature Protocols, 4.1, 2008, 44-57.
“Money Laundering Risks and E-Gaming: A European Overview and Assessment,” 2009, http://www.cf.ac.uk/socsi/resources/Levi—Final—Money—Laundering—Risks—egaming.pdf.
Nolan et al., “MCARTA: A Malicious Code Automated Run-Time Analysis Framework,” Homeland Security, 2012 IEEE Conference on Technologies for, Nov. 13, 2012, pp. 13-17.
Palantir Technologies, “Palantir Labs—Timeline,” Oct. 1, 2010, retrieved from the internet https://www.youtube.com/watch?v=JCgDW5bru9M.
Perdisci et al., “Behavioral Clustering of HTTP-Based Malware and Signature Generation Using Malicious Network Traces,” USENIX, Mar. 18, 2010, pp. 1-14.
Shi et al., “A Scalable Implementation of Malware Detection Based on Network Connection Behaviors,” 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, IEEE, Oct. 10, 2013, pp. 59-66.
Symantec Corporation, “E-Security Begins with Sound Security Policies,” Announcement Symantec, Jun. 14, 2001.
“Using Whois Based Geolocation and Google Maps API for Support Cybercrime Investigations,” http://wseas.us/e-library/conferences/2013/Dubrovnik/TELECIRC/TELECIRC-32.pdf.
Wright et al., “Palantir Technologies VAST 2010 Challenge Text Records—Investigations into Arms Dealing,” Oct. 29, 2010, pp. 1-10.
Notice of Acceptance for Australian Patent Application No. 2014250678 dated Oct. 7, 2015.
Notice of Allowance for U.S. Appl. No. 12/556,318 dated Nov. 2, 2015.
Notice of Allowance for U.S. Appl. No. 14/148,568 dated Aug. 26, 2015.
Notice of Allowance for U.S. Appl. No. 14/326,738 dated Nov. 18, 2015.
Notice of Allowance for U.S. Appl. No. 14/676,621 dated Feb. 10, 2016.
Official Communication for European Patent Application No. 14197938.5 dated Apr. 28, 2015.
Official Communication for European Patent Application No. 15155845.9 dated Oct. 6, 2015.
Official Communication for European Patent Application No. 15155846.7 dated Jul. 8, 2015.
Official Communication for European Patent Application No. 15165244.3 dated Aug. 27, 2015.
Official Communication for European Patent Application No. 15175106.2 dated Nov. 5, 2015.
Official Communication for European Patent Application No. 15175151.8 dated Nov. 25, 2015.
Official Communication for European Patent Application No. 15188106.7 dated Feb. 3, 2016.
Official Communication for European Patent Application No. 15190307.7 dated Feb. 19, 2016.
Official Communication for Netherlands Patent Application No. 2012437 dated Sep. 18, 2015.
Official Communication for U.S. Appl. No. 12/556,321 dated Feb. 25, 2016.
Official Communication for U.S. Appl. No. 13/247,987 dated Sep. 22, 2015.
Official Communication for U.S. Appl. No. 14/134,558 dated Oct. 7, 2015.
Official Communication for U.S. Appl. No. 14/225,084 dated Sep. 11, 2015.
Official Communication for U.S. Appl. No. 14/289,599 dated Sep. 4, 2015.
Official Communication for U.S. Appl. No. 14/306,138 dated Sep. 14, 2015.
Official Communication for U.S. Appl. No. 14/306,138 dated Dec. 3, 2015.
Official Communication for U.S. Appl. No. 14/306,154 dated Nov. 16, 2015.
Official Communication for U.S. Appl. No. 14/319,765 dated Sep. 10, 2015.
Official Communication for U.S. Appl. No. 14/490,612 dated Aug. 18, 2015.
Official Communication for U.S. Appl. No. 14/639,606 dated Oct. 16, 2015.
Official Communication for U.S. Appl. No. 14/715,834 dated Feb. 19, 2016.
Official Communication for U.S. Appl. No. 14/726,353 dated Sep. 10, 2015.
Official Communication for U.S. Appl. No. 14/741,256 dated Feb. 9, 2016.
Official Communication for U.S. Appl. No. 14/813,749 dated Sep. 28, 2015.
Official Communication for U.S. Appl. No. 14/841,338 dated Feb. 18, 2016.
Official Communication for U.S. Appl. No. 14/871,465 dated Apr. 11, 2016.
Official Communication for U.S. Appl. No. 14/871,465 dated Feb. 9, 2016.
Official Communication for U.S. Appl. No. 14/883,498 dated Mar. 17, 2016.
Official Communication for U.S. Appl. No. 14/883,498 dated Dec. 24, 2015.
Official Communication for U.S. Appl. No. 14/961,481 dated Mar. 2, 2016.
Restriction Requirement for U.S. Appl. No. 13/839,026 dated Apr. 2, 2015.
Abbey, Kristen, “Review of Google Docs,” May 1, 2007, pp. 2.
Adams et al., “Worklets: A Service-Oriented Implementation of Dynamic Flexibility in Workflows,” R. Meersman, Z. Tari et al. (Eds.): OTM 2006, LNCS, 4275, pp. 291-308, 2006.
Chaudhuri et al., “An Overview of Business Intelligence Technology,” Communications of the ACM, Aug. 2011, vol. 54, No. 8.
Devanbu et al., “Authentic Third-party Data Publication,” 2000, pp. 19, http://www.cs.ucdavis.edu/˜devanbu/authdbpub.pdf.
Galliford, Miles, “SnagIt Versus Free Screen Capture Software: Critical Tools for Website Owners,” http://www.subhub.com/articles/free-screen-capture-software, Mar. 27, 2008, pp. 11.
“GrabUp—What a Timesaver!” http://atlchris.com/191/grabup/, Aug. 11, 2008, pp. 3.
Gu et al., “Record Linkage: Current Practice and Future Directions,” Jan. 15, 2004, pp. 32.
Hua et al., “A Multi-attribute Data Structure with Parallel Bloom Filters for Network Services” HiPC 2006, LNCS 4297, pp. 277-288, 2006.
JetScreenshot.com, “Share Screenshots via Internet in Seconds,” http://web.archive.org/web/20130807164204/http://www.jetscreenshot.com/, Aug. 7, 2013, pp. 1.
Kwout, http://web.archive.org/web/20080905132448/http://www.kwout.com/ Sep. 5, 2008, pp. 2.
Microsoft, “Registering an Application to a URI Scheme,” http://msdn.microsoft.com/en-us/library/aa767914.aspx, printed Apr. 4, 2009 in 4 pages.
Microsoft, “Using the Clipboard,” http://msdn.microsoft.com/en-us/library/ms649016.aspx, printed Jun. 8, 2009 in 20 pages.
Microsoft Windows, “Microsoft Windows Version 2002 Print Out 2,” 2002, pp. 1-6.
Nitro, “Trick: How to Capture a Screenshot as PDF, Annotate, Then Share It,” http://blog.nitropdf.com/2008/03/04/trick-how-to-capture-a-screenshot-as-pdf-annotate-it-then-share/, Mar. 4, 2008, pp. 2.
Online Tech Tips, “Clip2Net—Share files, folders and screenshots easily,” http://www.online-tech-tips.com/free-software-downloads/share-files-folders-screenshots/, Apr. 2, 2008, pp. 5.
O'Reilly.com, http://oreilly.com/digitalmedia/2006/01/01/mac-os-x-screenshot-secrets.html published Jan. 1, 2006 in 10 pages.
Quest, “Toad for ORACLE 11.6—Guide to Using Toad,” Sep. 24, 2012, pp. 1-162.
Schroder, Stan, “15 Ways to Create Website Screenshots,” http://mashable.com/2007/08/24/web-screenshots/, Aug. 24, 2007, pp. 2.
SnagIt, “SnagIt Online Help Guide,” http://download.techsmith.com/snagit/docs/onlinehelp/enu/snagit—help.pdf, TechSmith Corp., Version 8.1, printed Feb. 7, 2007, pp. 284.
SnagIt, “SnagIt 8.1.0 Print Out,” Software release date Jun. 15, 2006, pp. 6.
SnagIt, “SnagIt 8.1.0 Print Out 2,” Software release date Jun. 15, 2006, pp. 1-3.
Wang et al., “Research on a Clustering Data De-Duplication Mechanism Based on Bloom Filter,” IEEE 2010, 5 pages.
Warren, Christina, “TUAW Faceoff: Screenshot apps on the firing line,” http://www.tuaw.com/2008/05/05/tuaw-faceoff-screenshot-apps-on-the-firing-line/, May 5, 2008, pp. 11.
Notice of Acceptance for Australian Patent Application No. 2013251186 dated Nov. 6, 2015.
Notice of Allowance for U.S. Appl. No. 14/265,637 dated Feb. 13, 2015.
Notice of Allowance for U.S. Appl. No. 14/278,963 dated Sep. 2, 2015.
Notice of Allowance for U.S. Appl. No. 14/552,336 dated Nov. 3, 2015.
Official Communication for Australian Patent Application No. 2013251186 dated Mar. 12, 2015.
Official Communication for Canadian Patent Application No. 2831660 dated Jun. 9, 2015.
Official Communication for European Patent Application No. 12181585.6 dated Sep. 4, 2015.
Official Communication for European Patent Application No. 15183721.8 dated Nov. 23, 2015.
Official Communication for Great Britain Patent Application No. 1404486.1 dated Aug. 27, 2014.
Official Communication for Great Britain Patent Application No. 1404489.5 dated Aug. 27, 2014.
Official Communication for Great Britain Patent Application No. 1404499.4 dated Aug. 20, 2014.
Official Communication for Netherlands Patent Application No. 2011729 dated Aug. 13, 2015.
Official Communication for Netherlands Patent Application No. 2012436 dated Nov. 6, 2015.
Official Communication for Netherlands Patent Application No. 2012438 dated Sep. 21, 2015.
Official Communication for New Zealand Patent Application No. 622473 dated Jun. 19, 2014.
Official Communication for New Zealand Patent Application No. 622473 dated Mar. 27, 2014.
Official Communication for U.S. Appl. No. 12/556,321 dated Jul. 7, 2015.
Official Communication for U.S. Appl. No. 13/196,788 dated Oct. 23, 2015.
Official Communication for U.S. Appl. No. 13/196,788 dated Nov. 25, 2015.
Official Communication for U.S. Appl. No. 13/669,274 dated Aug. 26, 2015.
Official Communication for U.S. Appl. No. 13/669,274 dated May 6, 2015.
Official Communication for U.S. Appl. No. 13/827,491 dated Jun. 22, 2015.
Official Communication for U.S. Appl. No. 13/827,491 dated Oct. 9, 2015.
Official Communication for U.S. Appl. No. 14/222,364 dated Dec. 9, 2015.
Official Communication for U.S. Appl. No. 14/552,336 dated Jul. 20, 2015.
Official Communication for U.S. Appl. No. 14/571,098 dated Nov. 10, 2015.
Official Communication for U.S. Appl. No. 14/571,098 dated Mar. 11, 2015.
Official Communication for U.S. Appl. No. 14/571,098 dated Aug. 24, 2015.
Official Communication for U.S. Appl. No. 14/571,098 dated Aug. 5, 2015.
Official Communication for U.S. Appl. No. 14/578,389 dated Oct. 21, 2015.
Official Communication for U.S. Appl. No. 14/734,772 dated Oct. 30, 2015.
Official Communication for U.S. Appl. No. 14/746,671 dated Nov. 12, 2015.
Official Communication for U.S. Appl. No. 14/746,671 dated Sep. 28, 2015.
Official Communication for U.S. Appl. No. 14/800,447 dated Dec. 10, 2015.
Official Communication for U.S. Appl. No. 14/842,734 dated Nov. 19, 2015.
Related Publications (1)
Number Date Country
20160062555 A1 Mar 2016 US
Provisional Applications (2)
Number Date Country
62045488 Sep 2014 US
62135448 Mar 2015 US