A New Method for Ontology Merging based on Concept using WordNet

Ontologies have been realized as the key technology for shaping and exploiting information for the effective management of knowledge and for the evolution of the semantic Web and its applications. However, it seems that there are always more than one ontology even for the same domain. In such a setting where different conceptualizations of the same domain exist, information services must effectively answer queries, bridging the gaps between their formal ontologies and user's own conceptualizations. Therefore, coordination (i.e. mapping, alignment, merging) of ontologies is a major challenge for bridging the gaps between agents with different conceptualizations. So we propose a new method for ontology merging using WordNet. In this paper, we introduce ontology merging based on the horizontal approach and vertical approach. These approaches have different characters. The horizontal approach is to analyze mapping between ontologies through integrated similar concept in the same level. The vertical approach is the method which create the rule from similarity measure between concepts in the different level (when it is impossible in horizontal approach)