FUNCTIONAL ANALYSIS OF INFORMATION RETRIEVAL

Abstract

The report summarizes the work under four headings. (1) The limits of Information Retrieval, which are set by the Principles of Documentary Impotence and Ignorance. The first asserts, inter alia, that librarians cannot supply documents that have not been written nor can dictate how documents will be used. The second asserts, inter alia, that one cannot tell whether a statement is true just by looking at it or at computations performed upon it. These principles have fruitful consequences. (2) The structure of retrieval services are analyzed and synthesized by identifying various instances of source, destination, designation, code, channel, and message and the sixteen triads of these that do not include both destination and message. Identification varies according to which entities are given, which dependent. (3) Documentary 'aboutness' varies as designation is related to message with respect to source, destination, or code. Extensional aboutness (what a document refers to) differs from intensional aboutness (why a document is about what it is about). (4) 'Information Sciences or Technologies' are largely applications of distinct techniques to documentary problems. If there be any common principles, these arise from their application to aid discourse, not from the disciplines from which these techniques originate. The report lists publications and presentations carried out under the Grant.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1968
Accession Number
AD0677289

Entities

People

  • Robert A. Fairthorne

Organizations

  • State University of New York at Albany

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Science
  • Computers
  • Curriculum
  • Education
  • Functional Analysis
  • Identification
  • Information Retrieval
  • Information Science
  • Language
  • Libraries
  • Library Science
  • New York
  • Postal Service
  • Schools
  • Scientific Research
  • Universities

Readers

  • Library and Information Science
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval