KEYWORD-IN-CONTEXT (KWIC) INDEXING: BACKGROUND, STATISTICAL EVALUATION, PROS AND CONS, APPLICATIONS

Abstract

This thesis discusses keyword-in-context (KWIC) indexing, a new method of machine indexing literature. In presenting the subject, the author assumes that the reader is unfamiliar with the new discipline of Information Science, precipitated by the information explosion. The background of machine indexing is developed deductively. Next, the author describes KWIC indexing, evaluates statistically the hypothesis upon which it is based (that titles are descriptive of the article or document they represent), lists its pros, cons and applications. And finally, the author concludes that KWIC indexing is indeed an efficacious new tool.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1964
Accession Number
AD0443912

Entities

People

  • John M. Sedano

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • C4I
  • Cyber
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Computer Programming
  • Computer Programs
  • Computers
  • Crystal Structure
  • Data Processing
  • Data Processing Equipment
  • Engineering
  • Information Retrieval
  • Information Science
  • Language
  • Law
  • Photoacoustic Tomography
  • Political Science
  • Processing Equipment
  • Social Sciences
  • Statistical Analysis

Fields of Study

  • Education

Readers

  • Artificial Intelligence
  • Criminal Law
  • Systems Analysis and Design