SBIR Phase I: Computer-Assisted Document Interpretation

Information

  • NSF Award
  • 9860316
Owner
  • Award Id
    9860316
  • Award Effective Date
    1/1/1999 - 26 years ago
  • Award Expiration Date
    6/30/1999 - 25 years ago
  • Award Amount
    $ 98,243.00
  • Award Instrument
    Standard Grant

SBIR Phase I: Computer-Assisted Document Interpretation

9860316l<br/> Material and process specifications are vital for any organization involved in complex manufacturing. Specifications (specs) are often comprehensive and voluminous, covering hundreds of characteristics such as the material properties, testing parameters, and processing requirements. The methods used to review and analyze specs, however, are labor-intensive, time consuming, and all too often produce results that have a negative impact on quality. This Small Business Innovation Research Phase I project from Renaissance Engineering, Inc. seeks to create a conceptual design for tools which provide computer-assistance in the interpretation of spec requirements based on the theories of Information Extraction. The project bases the analysis of specification content on an emerging meta-specification created as a result of previous NSF support. This meta-specification provides ontology for capturing and re-using the semantic knowledge contained in the body of specs. The tools created as a result of this research would be used to convert existing test-based specs into the computer-sensible ontology.<br/> Tools that access specifications in an intelligent, computerized format such as those proffered by Renaissance Engineering are of importance to the many organizations that have their processing, inspecting, and testing controlled by specifications including the Federal Government, and suppliers and prime contractors for many industries, particularly aerospace, automotive, chemicals, pharmaceuticals, and electronics.

  • Program Officer
    Sara B. Nerlove
  • Min Amd Letter Date
    11/9/1998 - 26 years ago
  • Max Amd Letter Date
    11/9/1998 - 26 years ago
  • ARRA Amount

Institutions

  • Name
    COHESIA CORPORATION
  • City
    DAYTON
  • State
    OH
  • Country
    United States
  • Address
    714 E MONU AVE STE 120
  • Postal Code
    454021500
  • Phone Number
    9372241414

Investigators

  • First Name
    Dan
  • Last Name
    Sokol
  • Email Address
    dsokol@cohesia.com
  • Start Date
    11/9/1998 12:00:00 AM

FOA Information

  • Name
    Computer Science
  • Code
    912