Measuring expressivity between ontology models

  • Authors:
  • Khalid Albarrak;Edgar H. Sibley

  • Affiliations:
  • Department of Computer Science, University of George Mason, Fairfax, VA;Department of Computer Science, University of George Mason, Fairfax, VA

  • Venue:
  • AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
  • Year:
  • 2012

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Abstract

In this paper, we describe an ontology evaluation methodology that measures the expressivity difference between two similar ontology entities. An ontology entity can be an ontology model, class, or property. In this methodology, an entity is considered more expressive if it contains more relevant axioms than the other. In measuring the expressivity, the methodology takes into account all the components that make up the entity and all the axioms within it. The proposed methodology is based on an abstract ontology representation that we formally define in this paper. Moreover, the methodology has been validated using two case studies with a fragment of one of these cases studies shown here as an example.