Inductive Information Retrieval Using Parallel Distributed Computation.

Abstract

Massively parallel, distributed models of computation offer a new approach to the representation and manipulation of knowledge. This paper reports on an application of parallel models to the area of information retrieval. The retrieval system described makes dynamic use of the internal structure of a database to infer relationships among items in the database. Using these relationships, the system can help overcome incompleteness and imprecision in requests for information, as well as in the database itself. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA142712

Entities

People

  • M. C. Mozer

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • California
  • Cognition
  • Cognitive Science
  • Computers
  • Human-Machine Interaction
  • Information Processing
  • Information Retrieval
  • Language
  • Linguistics
  • New York
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Psychology
  • Reasoning
  • Software Development
  • United States

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval