MBSOM: An agent based semantic ontology matching technique

The emerging ontology matching focuses on developing knowledge oriented approach that has ability to automatically determine the right sense of ontology context. The recent research in ontology matching demonstrate that lack of background information, much often particular domain related knowledge, is one of the key issue among matching systems. In this work we have introduced a MBSOM approach to processing, sharing and reuse of knowledge among web applications with their intended meaning. MBSOM approach combines the ontology matching techniques, intelligent agent and WordNet as a background knowledge that could be significantly affect on web services and the ability to execute jobs for users more precisely without any human interference. It is one of the rising research areas in artificial intelligent community and has high potential for research.