On the Science of Information Retrieval.

Abstract

The science of recovery of technical information is examined in terms of size of the information bank, definitiveness, specificity, the mathematics of recovery from an information system, and decision theory. It is shown that the search decision is very sensitive to the quality of idea indexing. The factors leading to a profitable search decision are developed, and guidelines for maximizing indexing quality in this sense are formulated. Methods of use of the indexes generated to optimize availability of indexed information sources are considered, and alternatives for various sizes and kinds of libraries and information centers are reviewed. An experiment which may prove useful for measuring system effectiveness is described. The experiment can also give insight on how to improve rates of information transfer and how to increase capability of information assessment.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1976
Accession Number
ADA027589

Entities

People

  • C. W. Hoffman
  • K. A. Pullen

Organizations

  • Ballistic Research Laboratory

Tags

DTIC Thesaurus Topics

  • Availability
  • Decision Theory
  • Information Exchange
  • Information Processing
  • Information Retrieval
  • Information Systems
  • Information Transfer
  • Mathematics
  • Recovery

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms