Semantic oriented ontology cohesion metrics for ontology-based systems

  • Authors:

  • Yinglong Ma;Beihong Jin;Yulin Feng

  • Affiliations:

  • Department of Computer Sciences and Technology, North China Electric Power University, Beijing 102206, PR China and Technology Center of Software Engineering, Institute of Software, Chinese Academ ...;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100190, PR China;Technology Center of Software Engineering, Institute of Software, Chinese Academy of Sciences, Beijing 100190, PR China

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2010

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Abstract

Ontologies play a core role to provide shared knowledge models to semantic-driven applications targeted by Semantic Web. Ontology metrics become an important area because they can help ontology engineers to assess ontology and better control project management and development of ontology based systems, and therefore reduce the risk of project failures. In this paper, we propose a set of ontology cohesion metrics which focuses on measuring (possibly inconsistent) ontologies in the context of dynamic and changing Web. They are: Number of Ontology Partitions (NOP), Number of Minimally Inconsistent Subsets (NMIS) and Average Value of Axiom Inconsistencies (AVAI). These ontology metrics are used to measure ontological semantics rather than ontological structure. They are theoretically validated for ensuring their theoretical soundness, and further empirically validated by a standard test set of debugging ontologies. The related algorithms to compute these ontology metrics also are discussed. These metrics proposed in this paper can be used as a very useful complementarity of existing ontology cohesion metrics.