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Finding the user-interested concepts of a large ontology is an important problem in Ontology analysis and reusing. A set of ranked concepts of an Ontology, which are ordered by the potential degree-of-interest, can help person find out the expected concepts, especially when the target Ontology is complex and large. In this paper we present a concept ranking algorithm for OWL (Web Ontology Language)...
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