An Integrated Ontology Ranking Method for Enhancing Knowledge Reuse

The Semantic Web is a mesh of information linked up such that it can be easily processed by machines. The focus of semantic web is to share data instead of documents and the ontologies act as the mainstay of the semantic web. Ontologies are used to represent domain knowledge in semantic web. As ontologies have many applications in various prominent fields, ontology reuse is becoming increasingly significant. To facilitate the search and reuse of ontologies many ontology libraries and search engines are in existence. But as there are a huge number of ontologies, the need for a faultless ontology ranking algorithm will help users find the best ontology that suits their purpose. The existing ranking methods focus only in the lexical level matching which does not provide exact results to the user. In order to overcome this, the paper proposes an integrated ranking approach which associates two ranking algorithms namely Content based ranking and ontology rank that encourages semantic matching. Keyword-Ontology, Ontology Ranking, Relation matching, Taxonomy matching, Concept matching, Ranking Techniques