An Improving For Ranking Ontologies Based on the Structure and Semantics

Ontology specifies the concepts of a domain and their semantic relationships. It is widely used for solving the information heterogeneity problems on the web because of their capability to provide explicit meaning to the information. Different ontologies are created by developer for a same domain. To solve the heterogeneity problem among the specific domain several matching strategies are designed such as linguistic matcher, semantic similarity, structural comparison. Similarities among ontologies are obtained based on the term, concept relationship and terminological relationship as synonyms, hyponyms and homonyms. SWRL (Semantic Web Rule Language) rule is developed for common repository knowledge base to detect the homonyms. A merging framework combines the matching strategies for indentifying the similarities and dissimilarities of source ontologies then the similar concept are automatically merged and dissimilarities are directly merged in to the global ontology that resolve the synonyms and homonyms conflict among the domain specific ontologies.