This application is related to U.S. patent Ser. No. 10/259,278, entitled Mechanism for Mapping XML Schemas to Object-Relational Database Systems, filed by Ravi Murthy, et al. on Sep. 27, 2002, the contents of which are herein incorporated by reference as if originally set forth herein.
This application is related to U.S. patent Ser. No. 08/962,535, entitled Apparatus And Method For Storage Of Object Collections In A Database System, filed by Anil Nori, et al. on Oct. 31, 1997 and now issued as U.S. Pat. No. 6,061,690 on May 9, 2000, the contents of which are incorporated herein by reference and referred to herein as the Database Object Collections.
The present invention relates to representing XML data in a database, and in particular, to representing collections of XML elements in a database system.
The approaches described in this section are approaches that could be pursued, but not necessarily approaches that have been previously conceived or pursued. Therefore, unless otherwise indicated, it should not be assumed that any of the approaches described in this section qualify as prior art merely by virtue of their inclusion in this section.
The Extensible Markup Language (XML) is the standard for data and documents that is finding wide acceptance in the computer industry. XML describes and provides structure to a body of data, such as a file or data packet. The XML standard provides for tags that delimit sections of XML documents referred to as XML elements.
Information about the structure of specific types of XML documents may be specified in documents referred to as “XML schemas”. For example, the XML schema for a particular type of XML document may specify the names for the elements contained in that type of XML document, the hierarchical relationship between the elements contained in that type of XML document, and the type of values contained in that particular type of XML document. Standards governing XML schemas include XML Schema, Part 0, Part 1, Part 2, W3C Recommendation, 2 May 2001, the contents of which are incorporated herein by reference, XML Schema Part 1: Structures, Second Edition, W3C Recommendation 28 Oct. 2004, the contents of which are incorporated herein by reference, and XML Schema Part 2: Datatypes Second Edition, W3C Recommendation 28 Oct. 2004, the contents of which incorporated herein by reference.
XML Storage Mechanisms
Various types of storage mechanisms are used to store a XML document. One type of storage mechanism stores a XML document as a text file in a file system.
Another type of storage mechanism uses object-relational database systems that are enhanced to store and process queries for collections of XML documents. Furthermore, these object-relational database systems can store and manage XML documents as instances of XML schemas. To store and manage the XML documents in a database system, database representations, defined in terms of data types, handled by the database system, referred to herein as database types, are used to represent XML documents. Database types include, for example, native database types, such as integer and VARCHAR (“variable length character string”), or object types defined for a database system using a DDL statements (data definition language statements.
For example, a database representation of an entire XML document may be a CLOB (binary large object), or maybe one or more tables whose columns store the components of a XML document in one or more rows. A database representation may be a hierarchy of objects in an object-relational database; each object is an instance of an object class and stores one or more elements of a XML document. The object class defines, for example, the structure corresponding to an element, and includes references or pointers to objects representing the immediate descendants of the element.
Representing Collections with Varrays
XML schemas often define a collection of elements (“collection element”) by specifying within a XML schema declaration of an element a maxOcccurs attribute with a value >1. Such a collection of elements is represented within a database using a VARRAY column in a table. Each array element in a VARRAY represents a member element in a collection of elements.
An object-relational database system stores a VARRAY column in several ways, referred to herein as forms of VARRAY storage. In one form of VARRAY storage, the inline form, the array elements of a VARRAY column of a table are stored inline within the table. In another form of VARRAY storage, the array elements of a VARRAY column of a table are stored out-of-line in another table (“out-of-line table”). Further details about VARRAYS and forms of VARRAY storage are described in Database Object Collections.
The decision about how to store VARRAYs may be based on various factors. Storing a VARRAY column out-of-line requires more space. However, the out-of-line table may be queried independently and may be indexed, allowing more efficient querying of VARRAYs. Furthermore, a database limitation (such as that for a VARRAY containing a CLOB) may require that a VARRAY column be stored out-of-line rather than inline. Indexing a VARRAY column may also require out-of-line storage.
Schema-level Determination of how to Store Varrays
In an approach for controlling how to store VARRAYs, the form of VARRAY storage is controlled at the XML schema level. All VARRAY column representations for a XML schema are either stored inline or out-of-line. Thus, if a database limitation requires out-of-line storage, or if it is desired to take advantage of some of the features of out-of-line storage, all the collection elements defined by a XML schema have to be stored out-of-line in a VARRAY column even though out-of-line storage is desired or required for only a subset of the collection elements defined by the XML schema. This limitation inflates the storage cost of handling collection elements and proliferates the number of tables needed by a database system to support collection elements.
Based on the foregoing, an improved way of determining how store VARRAYs for collection elements is desired.
The present invention is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:
A method and apparatus for what form of VARRAY storage to use to represent a collection element is described. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, that the present invention may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the present invention.
Various techniques are described herein for flexibly determining a form of VARRAY storage for XML collections of elements defined by an XML schema. The determination is made by a mechanism that registers XML schemas with the database system. During the registration of a given XML schema, a database server determines a database representation for the XML schema and generates mapping information. The database representation determination is a determination about what database types should be used to represent a XML schema and/or how instances of the XML schema are stored by a database system. Determining the appropriate database representation for a given XML schema may involve, for example, determining the database types, database objects, collection types, constraints, and even the indexes that are to be used by a database system to store data for XML documents that conform to the given XML schema. The mapping information indicates the mapping between the constructs declared in the XML schema and the constructs included in the appropriate database representation.
According to an embodiment of the present invention, a database server determines, on element-by-element level of granularity, what form of VARRAY storage to map to collections of elements defined by a XML schema. A collection element may be mapped to an in-line VARRAY or an out-of-line VARRAY. An in-line VARRAY is a VARRAY column that is stored in-line. An out-of-line VARRAY is a VARRAY column that is stored out-of-line. The determination may based on a variety of factors, including the database type mapped to the collection element, database limitations that limit the form of VARRAY storage for certain database types, and annotations (“mapping annotations”) embedded within a XML schema that specify a database type for a database representation of a collection element or a form of VARRAY storage. Based on these factors, the database determines an appropriate VARRAY representation, including a database type and form of VARRAY storage, and generates mapping information mapping a collection element to a VARRAY representation. The techniques provide greater flexibility for mapping VARRAYs to XML collection elements.
Database server 104 includes a XML schema mapper 106. When a XML schema 102 is registered with database server 104, XML schema mapper 106 determines the appropriate database representation 108 for documents that conform to XML schema 102, and generates mapping information 110 that indicates the correlation between the constructs declared by the XML schema and the elements of the database representation 108.
According to an embodiment, a XML schema has to be first registered with database server 104 before it can be used or referenced within database server 104. After the registration process is completed, XML documents conforming to this schema (and referencing it via the schema URL within the document) can be stored and treated by database server 104 as instances of the XML schema.
Generation Of Mapping Information
Once the appropriate database representation has been determined during registration of a particular XML schema, mapping information is generated to indicate the correlation between the parts of the database representation and the elements identified in the particular XML schema. The mapping information may indicate, for example, that data associated with a specific element of the XML schema should be stored in a particular column of a table that is generated as part of the appropriate database representation. The mapping information enables performance benefits. For example, query performance may be improved by rewriting XPath queries to directly access the underlying columns. In addition, update performance may be improved by rewriting updates to directly update the underlying columns. Consequently, updating a portion of the XML data from a stored document would not always require rewriting the entire XML data for the stored document.
Procedure for Choosing VARRAY Representation
Referring to
At step 220, the database server generates a mapping between the collection element declared and a VARRAY column representation, including the form storage determined at step 210. For example, the collection element can be mapped to in-line VARRAY of integers or to a VARRAY of CLOBs holding text or even a XML subtree.
Database Type as Factor
A factor for determining a form of VARRAY storage may be based, at least in part, on a database type that represents a collection element. The following portion of a XML schema S-1 is provided below to illustrate this kind of factor.
XML schema S-1 includes a declaration of the complex type TokenType. The declaration of TokenType includes the mapping annotation xdb: SQLType=“CLOB”. The mapping annotation specifies to the database server that the database representation for an element of this type should be a CLOB.
Schema S-1 also declares an element with the name Tokens and a maxOccurs attribute of “unbounded”. Thus, Tokens is a collection element.
At step 210, the database server determines that the form of VARRAY storage to use for Tokens is out-of-line. The determination is based on the following factors. The mapping annotation specifies that the database type for Tokens is CLOB. Furthermore, the database server does not support inline VARRAYs having database type CLOB but does support out-of-line VARRAYs of this database type.
At step 220, the database server generates a mapping that maps an out-of-line CLOB VARRAY column of a table to element Tokens of XML schema S-1.
The factors described in the above example are illustrative but not limiting. For example, the element declaration for a XML complex type may omit a mapping annotation that maps the complex type to a database type. In this case, the database server independently determines the database type based on XML data type the XML schema declares for the element. In addition, for a database type used to represent a collection element, there may be no database limitation that limits the use of either an in-line or out-of-line VARRAY. In this case, selection between the forms of VARRAY storage can be based on, for example, efficiency factors particular to database types.
Mapping Annotations by Element
The declaration for a collection element may include a mapping annotation that maps a collection element to a form of VARRAY storage. The following portion of a XML schema S-2 is provided as an illustration.
Schema S-2 declares an element Tokens of the complexType TokenTypeB. The declaration of Tokens includes the mapping annotation xdb:storeVarrayAsTable=“true”, specifying that the form of VARRAY storage for Tokens should be an out-of-line VARRAY.
Schema S-2 may include declarations of other collection elements that omit mapping annotations that identify a form of VARRAY storage. In this case, the particular form of VARRAY storage to use may be decided by a database server and may be based on other factors, such as efficiency factors or database limitations. Thus, the user has the ability to allow the database server to select a form of VARRAY storage and ability to override the selection when desired.
Alternatively, XML schema S-2 may contain an annotation that specifies a default form of VARRAY storage, such as shown below.
For a particular declaration of a collection element, the default may be overridden by including a mapping annotation as shown for Token in XML schema S-2.
An embodiment of the present invention as been illustrated using several form VARRAY storage. However, the present invention is not so limited.
Computer system 300 may be coupled via bus 302 to a display 312, such as a cathode ray tube (CRT), for displaying information to a computer user. An input device 314, including alphanumeric and other keys, is coupled to bus 302 for communicating information and command selections to processor 304. Another type of user input device is cursor control 316, such as a mouse, a trackball, or cursor direction keys for communicating direction information and command selections to processor 304 and for controlling cursor movement on display 312. 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.
The invention is related to the use of computer system 300 for implementing the techniques described herein. According to one embodiment of the invention, those techniques are performed by computer system 300 in response to processor 304 executing one or more sequences of one or more instructions contained in main memory 306. Such instructions may be read into main memory 306 from another machine-readable medium, such as storage device 310. Execution of the sequences of instructions contained in main memory 306 causes processor 304 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 to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware circuitry and software.
The term “machine-readable medium” as used herein refers to any medium that participates in providing data that causes a machine to operation in a specific fashion. In an embodiment implemented using computer system 300, various machine-readable media are involved, for example, in providing instructions to processor 304 for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 310. Volatile media includes dynamic memory, such as main memory 306. Transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 302. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications. All such media must be tangible to enable the instructions carried by the media to be detected by a physical mechanism that reads the instructions into a machine.
Common forms of machine-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, or any other magnetic medium, a CD-ROM, any other optical medium, punchcards, papertape, any other physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave as described hereinafter, or any other medium from which a computer can read.
Various forms of machine-readable media may be involved in carrying one or more sequences of one or more instructions to processor 304 for execution. For example, the instructions may initially be carried on a magnetic disk 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 300 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 302. Bus 302 carries the data to main memory 306, from which processor 304 retrieves and executes the instructions. The instructions received by main memory 306 may optionally be stored on storage device 310 either before or after execution by processor 304.
Computer system 300 also includes a communication interface 318 coupled to bus 302. Communication interface 318 provides a two-way data communication coupling to a network link 320 that is connected to a local network 322. For example, communication interface 318 may be an integrated services digital network (ISDN) card or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, communication interface 318 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN. Wireless links may also be implemented. In any such implementation, communication interface 318 sends and receives electrical, electromagnetic or optical signals that carry digital data streams representing various types of information.
Network link 320 typically provides data communication through one or more networks to other data devices. For example, network link 320 may provide a connection through local network 322 to a host computer 324 or to data equipment operated by an Internet Service Provider (ISP) 326. ISP 326 in turn provides data communication services through the world wide packet data communication network now commonly referred to as the “Internet” 328. Local network 322 and Internet 328 both use electrical, electromagnetic or optical signals that carry digital data streams. The signals through the various networks and the signals on network link 320 and through communication interface 318, which carry the digital data to and from computer system 300, are exemplary forms of carrier waves transporting the information.
Computer system 300 can send messages and receive data, including program code, through the network(s), network link 320 and communication interface 318. In the Internet example, a server 330 might transmit a requested code for an application program through Internet 328, ISP 326, local network 322 and communication interface 318.
The received code may be executed by processor 304 as it is received, and/or stored in storage device 310, or other non-volatile storage for later execution. In this manner, computer system 300 may obtain application code in the form of a carrier wave.
In the foregoing specification, embodiments of the invention have been described with reference to numerous specific details that may vary from implementation to implementation. Thus, the sole and exclusive indicator of what is the invention, and is intended by the applicants to be the invention, is the set of claims that issue from this application, in the specific form in which such claims issue, including any subsequent correction. Any definitions expressly set forth herein for terms contained in such claims shall govern the meaning of such terms as used in the claims. Hence, no limitation, element, property, feature, advantage or attribute that is not expressly recited in a claim should limit the scope of such claim in any way. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
In the foregoing specification, embodiments of the invention have been described with reference to numerous specific details that may vary from implementation to implementation. Thus, the sole and exclusive indicator of what is the invention, and is intended by the applicants to be the invention, is the set of claims that issue from this application, in the specific form in which such claims issue, including any subsequent correction. Any definitions expressly set forth herein for terms contained in such claims shall govern the meaning of such terms as used in the claims. Hence, no limitation, element, property, feature, advantage or attribute that is not expressly recited in a claim should limit the scope of such claim in any way. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Number | Name | Date | Kind |
---|---|---|---|
5295261 | Simmonetti | Mar 1994 | A |
5404513 | Powers et al. | Apr 1995 | A |
5467471 | Bader | Nov 1995 | A |
5680614 | Bakuya et al. | Oct 1997 | A |
5724577 | Exley et al. | Mar 1998 | A |
5734887 | Kingberg et al. | Mar 1998 | A |
5878415 | Olds | Mar 1999 | A |
5974407 | Sacks | Oct 1999 | A |
5987506 | Carter et al. | Nov 1999 | A |
5999941 | Andersen | Dec 1999 | A |
6012067 | Sarkar | Jan 2000 | A |
6038563 | Bapat et al. | Mar 2000 | A |
6055544 | DeRose et al. | Apr 2000 | A |
6061684 | Glasser et al. | May 2000 | A |
6061690 | Nori et al. | May 2000 | A |
6128610 | Srinivasan et al. | Oct 2000 | A |
6128621 | Weisz | Oct 2000 | A |
6141655 | Johnson et al. | Oct 2000 | A |
6154741 | Feldman | Nov 2000 | A |
6199195 | Goodwin et al. | Mar 2001 | B1 |
6208993 | Shadmone | Mar 2001 | B1 |
6236988 | Aldred | May 2001 | B1 |
6240407 | Chang et al. | May 2001 | B1 |
6263332 | Nasr et al. | Jul 2001 | B1 |
6269380 | Terry et al. | Jul 2001 | B1 |
6279006 | Shigemi et al. | Aug 2001 | B1 |
6279007 | Uppala | Aug 2001 | B1 |
6298349 | Toyoshima et al. | Oct 2001 | B1 |
6343287 | Kumar et al. | Jan 2002 | B1 |
6356920 | Vandersluis | Mar 2002 | B1 |
6366934 | Cheng et al. | Apr 2002 | B1 |
6370537 | Gilbert et al. | Apr 2002 | B1 |
6418448 | Sarkar | Jul 2002 | B1 |
6438540 | Nasr et al. | Aug 2002 | B2 |
6449620 | Draper et al. | Sep 2002 | B1 |
6470344 | Kothuri et al. | Oct 2002 | B1 |
6487546 | Witkowski | Nov 2002 | B1 |
6496842 | Lyness | Dec 2002 | B1 |
6571231 | Sedlar | May 2003 | B2 |
6574655 | Libert et al. | Jun 2003 | B1 |
6584459 | Chang et al. | Jun 2003 | B1 |
6604100 | Fernandez et al. | Aug 2003 | B1 |
6636845 | Chau et al. | Oct 2003 | B2 |
6643633 | Chau et al. | Nov 2003 | B2 |
6675354 | Claussen et al. | Jan 2004 | B1 |
6718322 | Brye | Apr 2004 | B1 |
6721727 | Chau et al. | Apr 2004 | B2 |
6725212 | Couch et al. | Apr 2004 | B2 |
6754661 | Hallin et al. | Jun 2004 | B1 |
6772350 | Belani et al. | Aug 2004 | B1 |
6779152 | Conner et al. | Aug 2004 | B1 |
6785673 | Fernandez et al. | Aug 2004 | B1 |
6826727 | Mohr et al. | Nov 2004 | B1 |
6836778 | Manikutty et al. | Dec 2004 | B2 |
6836857 | Ten-Hove et al. | Dec 2004 | B2 |
6871204 | Krishnaprasad et al. | Mar 2005 | B2 |
7031956 | Lee et al. | Apr 2006 | B1 |
7092967 | Pannala et al. | Aug 2006 | B1 |
7120645 | Manikutty et al. | Oct 2006 | B2 |
7685137 | Liu et al. | Mar 2010 | B2 |
7809763 | Nori et al. | Oct 2010 | B2 |
20020015042 | Robotham et al. | Feb 2002 | A1 |
20020035606 | Kenton | Mar 2002 | A1 |
20020038358 | Sweatt, III et al. | Mar 2002 | A1 |
20020056025 | Qiu et al. | May 2002 | A1 |
20020073019 | Deaton | Jun 2002 | A1 |
20020087510 | Weinberg et al. | Jul 2002 | A1 |
20020116371 | Dodds et al. | Aug 2002 | A1 |
20020116457 | Eshleman et al. | Aug 2002 | A1 |
20020120685 | Srivastava et al. | Aug 2002 | A1 |
20020123993 | Chau et al. | Sep 2002 | A1 |
20020124100 | Adams | Sep 2002 | A1 |
20020133484 | Chau et al. | Sep 2002 | A1 |
20020143512 | Shamoto et al. | Oct 2002 | A1 |
20020156772 | Chau et al. | Oct 2002 | A1 |
20020156811 | Krupa | Oct 2002 | A1 |
20020169788 | Lee et al. | Nov 2002 | A1 |
20020184188 | Mandyam et al. | Dec 2002 | A1 |
20020184401 | Kadel, Jr. et al. | Dec 2002 | A1 |
20020198874 | Nasr et al. | Dec 2002 | A1 |
20030004937 | Salmenkaita et al. | Jan 2003 | A1 |
20030009361 | Hancock et al. | Jan 2003 | A1 |
20030014397 | Chau et al. | Jan 2003 | A1 |
20030033285 | Jalali et al. | Feb 2003 | A1 |
20030065659 | Agarwal et al. | Apr 2003 | A1 |
20030093672 | Cichowlas | May 2003 | A1 |
20030101194 | Rys et al. | May 2003 | A1 |
20030140308 | Murthy et al. | Jul 2003 | A1 |
20030154204 | Chen-Wright et al. | Aug 2003 | A1 |
20030158897 | Ben-Natan et al. | Aug 2003 | A1 |
20030172135 | Bobick et al. | Sep 2003 | A1 |
20030182624 | Large | Sep 2003 | A1 |
20040043758 | Sorvari et al. | Mar 2004 | A1 |
20040064466 | Manikutty et al. | Apr 2004 | A1 |
20040148278 | Milo et al. | Jul 2004 | A1 |
20040176958 | Salmenkaita et al. | Sep 2004 | A1 |
20040220912 | Manikutty et al. | Nov 2004 | A1 |
20040220927 | Murthy et al. | Nov 2004 | A1 |
20040225680 | Cameron et al. | Nov 2004 | A1 |
20040267760 | Brundage et al. | Dec 2004 | A1 |
20050010896 | Meliksetian et al. | Jan 2005 | A1 |
20050050058 | Jain et al. | Mar 2005 | A1 |
20050050092 | Jain et al. | Mar 2005 | A1 |
20050289125 | Liu et al. | Dec 2005 | A1 |
20060031233 | Liu et al. | Feb 2006 | A1 |
20060259519 | Yakushev et al. | Nov 2006 | A1 |
20070011167 | Krishnaprasad et al. | Jan 2007 | A1 |
Number | Date | Country |
---|---|---|
1 241 589 | Sep 2002 | EP |
WO 0049533 | Aug 2000 | WO |
WO 0142881 | Jun 2001 | WO |
WO 0159602 | Aug 2001 | WO |
WO 0161566 | Aug 2001 | WO |
Entry |
---|
Manolescu, Dragos, Review of “Metadata solutions: using metamodels, repositories, XML, and enterprise portals to generate information on demand by Adrienne Tannenbaum”, Mar. 2003, ACM Press, vol. 28, Issue 2, p. 38. |
Josephine Cheng, et al., “IBM DB2 XML Extender, An end-to-end solution for storing and retrieving XML documents.,” IEEE, ICDE '00 Conference, San Diego, Feb. 2000, 128 pages. |
R. Bourret et al.: A Generic Load/Extract Utility for Data Transfer Between XML Documnts and Relational Databases, Jun. 8-9, 2000, IEEE Computing SOC., pp. 134-143. |
Hansrudi Noser, et al., “Dynamic 3D Visualization of Database-Defined Tree Structures on the WWW by Using Rewriting Systems,” 2000, IEEE, XP-002262516, pp. 247-254. |
Sushil Jajodia, et al., “Toward a Multilevel Secure Relational Data Model,” ACM, 1991, 8393 SIGMOD Record, Jun. 20, 1991, No. 2, New York, US, XP 000364619, pp. 50-59. |
S. Vorthmann, et al. “Beyond Schemas, Schema Adjuncts and the Outside World,” Markup Languages, Online!, vol. 2, No. 3, Jun. 2000, pp. 1-8. |
Mi-Ok Chae, et al., “Design and Implementation of an Object-Oriented Multimedia DBMS Tightly Coupled with Information Retrieval Functions,” Proc. 17th IASTED International Conference on Applied Informatics, Feb. 15-18, 1999, abstract. |
Daniele Braga et al., “A Graphical Environment to Query XML Data with Query,” Proceedings of the Fourth International Conference on Web Information Systems Engineering (WISE '03), 2003, IEEE, 10 pages. |
J. Shanmugasundaram, et al. “Querying XML Views of Relational Data,” Proceedings of the 27th Very Large Databases Conference, Rome, Italy, Sep. 2001, pp. 261-270. |
Sandeepan Banerjee, Oracle Corporation, “Oracle 9i ‘Project XDB’—The XML Database,” Oracle—2001, (pp. 1-18). |
Sandeepan Banerjee, et al., “Oracle8i—The XML Enabled Data Management System,” Oracle Corporation, Mar. 2000 IEEE pp. 561-568. |
Ramon Lawrence et al., “Integrating Relational Database Schemas Using a Standardized Dictionary,” 2001, ACM (pp. 225-230). |
Latifur Khan et al., “A Performance Evaluation of Storing XML Data in Relational Database Management Systems,” ACM-2001 (pp. 31-38). |
Philip Bohannon, et al., “From XML Schema to Relations: A Cost-Based Approach to XML Storage,” Bell Laboratories, IEEE, 2002, Proceedings of the 18th International Conference on Data Engineering (ICDE'02), 12 pages. |
Raghu Ramakrishnan, et al., “SRQL: Sorted Relational Query Language,” Jul. 1-3, 1998, IEEE pp. 84-95. |
Daniela Florescu et al., “A Performance Evaluation of Alternative Mapping Schemes for Storing XML Data in a Relational Database,” May 1999, XP-002168318, pp. 1-31. |
Melton, John, “ISO-ANSI Working Draft, XML-Related Specifications (SQL/XML),” WG3: DRS-020, H2-2002-365, Aug. 2002, 154 pages. |
Oracle Corporation, “Oracle9i XML Database Developer's Guide—Oracle XML DB,” Release 2 (9.2), Mar. 2002, Part No. A96620-1, pp. 4-31-4-35, 5-21-5-24 and 5-70-5-71. |
W3C, “XML Schema Part 1: Structures,” W3C Recommendation, May 2, 2001, <http://www.w3.org/TR/2001/REC-xmlschema-1-20010502/>, pp. 1-203. |
W3C, “XML Schema Part 2: Datatypes,” W3C Recommendation, May 2, 2001, <http://www.w3.org/TR/2001/REC-xmlschema-2-20010502/>, pp. 1-146. |
Ming-Ling Lo et al., “XAS: A System for Accessing Componentized, Virtual XML Documents,” IEEE, 2001, pp. 493-502. |
Andrea Zisman et al., “Using XML to Build Consistency Rules for Distributed Specifications,” Proceedings of the Tenth International Workshop on Software Specification and Design (IWSD'00), IEEE 2000, 8 pages. |
Jussi Myllymaki, “Effective Web Data Extraction with Standard XML Technologies,” WWW10, May 1-5, 2001, pp. 689-696. |
Albrecht Schmidt et al., “Why and How to Benchmark XML Databases,” SIGMOND Record, vol. 3, No. 3, Sep. 2001, pp. 27-32. |
Japanese Patent Office, “Notice of Grounds of Rejection”, Patent application No. 533163/2003, mailed Aug. 19, 2008, 7 pages. |
Claims, Patent application No. 533163/2003, 9 pages. |
Tomoharu, Asami, “Development of Database System by XML, Relaxer, and JDBC”, partial English translation, XML Press, Gijutsu-Hyohron Co., Jul. 10, 2001, vol. 3, 2 pages. |
Makoto, Onizuka, “XML and Database”, partial English translation, XML Magazine, Shoeisha Co., Ltd., Jul. 1, 2000, vol. 10, No. 3, 1 page. |
Hironobu, Koyaku, “What is brought to SQL Server 2000 by XML?”, partial English translation, Enterprise Servers, IDG Japan, Dec. 1, 2000, vol. 3, No. 12, 1 page. |
Number | Date | Country | |
---|---|---|---|
20070083542 A1 | Apr 2007 | US |