Ontology Analysis for the Semantic Web

Mala Mehrotr

The Multi-ViewPointClustering Analysis (MVP-CA) technology provides an infrastructure for ontology analysis and knowledge base evaluation by clustering the axioms that utilize the ontology. In this paper we highlight our experiences of applying the MVP-CA tool to the analysis of various knowledge bases. We discuss our results in the context of using MVP-CA as a (a)navigational aid for understanding ontologies of large knowledge bases,(b) knowledge discovery mechanism for exposing reusable software patterns in the knowledge base, as well as a (c) meta-property annotation aid for assigning meaning to select groups of axioms, flagged by the MVP-CA tool.


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