Ontological Approach to the Representation of Military Knowledge

Abstract

The answers to commanders' priority intelligence requirements are typically based on a speedy, partial analysis of the information available. Research has made significant progress in certain areas of data interpretation for intelligence analyses, which are referred to as sensor fusion, data fusion, and information fusion. The accuracy and speed of the fusion can be significantly improved by utilizing knowledge processed at the appropriate level. In this document, the general problem of information provision for decision making is addressed. The most appropriate solution for implementation of a data fusion system, the-multi-agent architecture, is suggested. One multi-agent application related to a specific kind of knowledge, social knowledge, is outlined, illustrating an ontological approach to the representation of military knowledge. Sixteen briefing charts summarize the presentation. (2 figures, 7 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA428705

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  • Zdenka Winklerova

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  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Best Practices
  • Command And Control
  • Communication Systems
  • Czech Republic
  • Data Fusion
  • Data Processing
  • Information Exchange
  • Information Operations
  • Information Processing
  • Information Systems
  • Language
  • Lisp Programming Language
  • Machine Learning
  • Models
  • Ontologies
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  • Geospatial Intelligence and Artificial Intelligence Analytics
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