Use of Negation in Search

Abstract

Boolean algebra was developed in the 1840s. Since that time, negation, one of the three basic concepts in Boolean algebra, has influenced the fields of information science and information retrieval, particularly in the modern computer era. In Web search engines, one of the present manifestations of information retrieval, little use is being made of this functionality and so little attention is given to it in the literature. This study aims to bolster the understanding of the use and usefulness of negation. Specifically, an Internet search task was developed for which negation was the most appropriate search strategy. This search task was performed by 30 individuals and followed by an interview designed to elicit more information about the participants? use or non-use of negation during the task. Negation was observed to be used by approximately 17% of users in the study, suggesting that negation may indeed be infrequently used by Internet users. The data obtained during the post-task interview indicate that lack of use of negation stems from users not knowing about negation, having little experience with negation, or simply preferring other methods, even when negation is one of the foremost appropriate methods.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA525107

Entities

People

  • Kristen M. Lancaster

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Networks
  • Computer Science
  • Computers
  • Human Behavior
  • Information Processing
  • Information Retrieval
  • Information Science
  • Information Systems
  • Information Theory
  • Internet
  • Library Science
  • Operating Systems
  • Personnel Management
  • United States
  • Web Browsers
  • Websites

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Gender and Food Studies
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval