Retrieval Using Plausible Inference

Abstract

The goal of this project was basic research and development in the area of text-based information systems. A new probabilistic model of text retrieval using Bayesian inference nets was proposed and extended. An efficient implementation of this model for large full-text databases resulted in the INQUERY indexing and retrieval engine. Retrieval experiments carried out using INQUERY an a variety of databases have shown that it produces high-quality results compared to other approaches. We have also made significant progress, both conceptually and with prototype implementations, in showing how text retrieval can be integrated with hypertext and database management systems in a single framework. The success of the INQUERY system in ARPA-sponsored evaluations has led to a number of technology transfer projects.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA274252

Entities

People

  • W. Bruce Croft

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Advisory Activities
  • Algorithms
  • Bayesian Inference
  • Bayesian Networks
  • Commerce
  • Data Management
  • Database Management Systems
  • Databases
  • Hypertext
  • Information Retrieval
  • Information Systems
  • Language
  • Models
  • Natural Languages
  • Probabilistic Models
  • Probability
  • Technology Transfer

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval