Capturing and Modeling Domain Knowledge Using Natural Language Processing Techniques

Abstract

PROBLEM SPACE: (1) Command and control (C2) and decision-making domains are seriously threatened, facing information overload and uncertainty issues; (2) Military have to create new ways of processing sensor and intelligence information; (3) Without new means to elicit knowledge from multiple information and intelligence sources, decision-makers will have to deal with very limited knowledge and increasing levels of uncertainty in operations; (4) How can we better capture and represent knowledge objects contained in sources? * METADATA * TAXONOMIES * ONTOLOGIES

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA464269

Entities

People

  • Alain Auger

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Animals
  • Command And Control
  • Diseases And Disorders
  • Domestic
  • Eastern Europe
  • Extraction
  • Infectious Diseases
  • Information Overload
  • Language
  • Metadata
  • Named Entity Recognition
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Taxonomy
  • United States
  • Validation

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Space
  • Space - Space Objects