An Inductive Taxonomy of Combat Intelligence Data

Abstract

Technological advances have led to the more efficient collection of a greater variety and quantity of combat intelligence data than in the past. This development has strained the capacity of the intelligence system to process this information. To effectively handle the increased volume of data, the intelligence analyst working on specific problems must be able to selectively obtain information relevant to a specific problem without becoming bogged down in irrelevant information. To achieve an efficient information retrieval capability, whether using manual or automated procedure, it is desirable for data to be stored in a form compatible with the retrieval requirements of the intelligence analyst. This report presents an outline of one approach to data organization, and provides the information taxonomy produced when this particular methodology was applied to one message set. While a number of information categories are unique to this particular message set, this taxonomy is expected to provide a valuable starting point for future efforts of this type.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1974
Accession Number
ADA076802

Entities

People

  • Samuel M. Patten

Organizations

  • U.S. Army Research Institute for the Behavioral and Social Sciences

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artillery
  • Explosives
  • Health Services
  • Land Transportation
  • Medical Personnel
  • Military Aircraft
  • Military Hospitals
  • Military Organizations
  • Observation Aircraft
  • Projectiles
  • Reconnaissance
  • Reconnaissance Aircraft
  • Small Arms
  • Transportation
  • Warfare

Readers

  • Computer Vision.
  • Military History / Militaries and War Studies
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy