INVESTIGATION OF INFORMATION LOSSES AND INFORMATION NOISE IN DESCRIPTOR INFORMATION RETRIEVAL SYSTEMS (ISSLEDOVANIE POTER INFORMATSII I INFORMATSIONNOGO SHUMA V DESKRIPTORYNYKH INFORMATSIONNO-POISKOVYKH SISTEMAKH),

Abstract

This article discusses the relationship between information loss and information noise in a descriptor information retrieval system and the language and program used in search and retrieval. Six types of languages are herein investigated. These are natural language with grammar, natural language without grammar, natural language with mono-radical word forms, key words taken from text, descriptor language without grammar, and descriptor language with grammar. The influence of basic textual relationship on the completeness and redundancy of information read-out is investigated. One hundred documents were searched in the experiment using 50 inquiries which were composed for this purpose. These queries were grouped according to the number of descriptors in each, which was 2, 3, or 4. Curves of the experimental results are presented and analyzed in the article.

Document Details

Document Type
Technical Report
Publication Date
Sep 06, 1967
Accession Number
AD0673761

Entities

People

  • A. V. Sokolov

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Grammars
  • Information Retrieval
  • Language
  • Linguistics
  • Natural Languages
  • Redundancy

Fields of Study

  • Computer science
  • Education

Readers

  • Acoustics.
  • Computational Linguistics
  • Information Retrieval

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation