Advanced Query Techniques.

Abstract

The report describes an RADC sponsored R&D effort directed at providing an improved natural language access to differently formatted target databases. Section I defines functional characteristics of on-line intelligence information systems within the current state-of-the-art; describes the rationale of the AQT effort, and provides a comparison between the AQT approach and other approaches inherent in the existing information systems with a practical orientation. Section II describes basic concepts of the AQT approach (extended relational data models, intermediate query language, table driven translation). Linguistic implementation of natural language query techniques is provided in Section III. Section IV deals with the methodology of accessing differently formatted target databases. Section V describes some special problems in querying target databases (e.g., generic keys, ellipsis, purging a context, conversational postulates). Section VI constitutes a detailed description of the presently available AQT testbed system. Section VII provides criteria for evaluation of user interface languages for database management systems. Section VIII is a statement of conclusions including present status and results; operational evaluation criteria; areas for further work, plans, summary and directions.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1979
Accession Number
ADA079626

Entities

People

  • Clinton P. Mah
  • John M. Morris

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Computer Programming
  • Computers
  • Database Management Systems
  • Databases
  • Grammars
  • Information Science
  • Information Systems
  • Language
  • Linguistics
  • Natural Languages
  • Operating Systems
  • Standards
  • Terminals
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Business Analytics
  • Computational Linguistics
  • Systems Analysis and Design