A NOVEL APPROACH FOR RANKING ONTOLOGIES BASED ON THE STRUCTURE AND SEMANTICS

Semantic web is based on knowledge representation which contains a large number of ontologies. The increasing demand for ontology had triggered a growing number of usable ontology in web. This is mainly used for ontology merging, ontology mapping, and for reusing purpose. In order to get a solution for this problem, ontology search results need to be ranked. This ranking method increases the scope of the knowledge searching in ontology-driven searches. At present many ranking techniques are available. By exploring the advantages and weakness of a AKTive ranking algorithm in the semantic web , this paper proposes a new ranking algorithm named Onto-DSB ranking based on the semantic web link and the internal structure of ontology , the way which is achieved by introducing new measures based on its relation set. Experimental results indicate that this algorithm is more effective and satisfies the needs of the user.