Ontology Ranking Algorithms on Semantic Web A Review

Abstract: Semantic Web is the representation of knowledge which consists of a huge amount of ontologies. Ontologies provide an efficient way to reduce the amount of information overload by defining the structure of a specific domain and enabling easier access to the information. Since the demand for the use of ontology has been increased, similar to the Web searching, ontologies on the Semantic Web are to be searched in an efficient way. Ontology search can prove its excellence only when the retrieval involves with highly relevant information based on the user query. The ranking method increases the scope of the knowledge searching and makes the users to view the relevant need for the query on the top most. There are a number of Semantic search engines available to aid in the discovery and ranking of ontologies, but with benefits and pitfalls. This paper reviews most of the ontology ranking methods used, which will help the researchers to proceed further.

Kewords: Semantic Web, Semantic Search, Ontology, Ontology Ranking

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Keywords: are too specific, producing few or no results, or too general, in which case the results are overwhelming and irrelevant.