Constructing RuleML-Based Domain Theories on top of OWL Ontologies

Abstract

Situation Awareness involves the comprehension of the state of a collection of objects in an evolving environment. This not only includes an understanding of the objects' characteristics but also an awareness of the significant relations that hold among the objects at any point in time. Systems for establishing situation awareness require a knowledge representation for these objects and relations. Traditional ontologies, as defined with a language like DAML/OWL, are commonly used for such purposes. Unfortunately, these languages are insufficient for describing the conditions under which specific relations might hold true, which requires the explicit representation of implications, as is provided by RuleML. This paper describes an approach to knowledge representation for situation awareness employing RuleML-based domain theories constructed over OWL ontologies, presented in the context of its implementation in a Situation Awareness Assistant under development by the authors. Suggestions are also made for additions to the RuleML specification.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA444582

Entities

People

  • Christopher J. Matheus
  • Jerzy Letkowski
  • Kenneth Baclawski
  • Mitch M. Kokar

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Air Traffic
  • Battlefields
  • Construction
  • Information Operations
  • Information Systems
  • Language
  • Markup Languages
  • Military Research
  • Models
  • New England
  • Ontologies
  • Reasoning
  • Semantic Models
  • Situational Awareness

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Systems Analysis and Design