A Deductive Capability for Data Management,

Abstract

This paper examines some of the problems and issues involved in designing a practical deductive inference processor to augment a data management system, as well as some of the benefits that can be expected from such an augmentation. A deductive processor design is presented that incorporates new techniques for selecting, from large collections of mostly irrelevant general assertions and specific facts, the small number needed for deriving an answer to a particular query. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1976
Accession Number
ADA071105

Entities

People

  • Charles Kellogg
  • Larry Travis
  • Philip Klahr

Organizations

  • System Development Corporation

Tags

Communities of Interest

  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Science
  • Computers
  • Construction
  • Corporations
  • Data Management
  • Databases
  • Generators
  • Language
  • Natural Languages
  • New York

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval