Hybrid approach for efficient Multiple ontology mapping

Enormous information available on the Web creates a demand for automatic ways of processing and analyzing data. Semantic Web technologies are used to provide automatic ways of web data processing by integrating several heterogeneous knowledge bases available on the web. Information integration of a domain includes the process of mapping and merging of ontologies. In the semantic web applications, ontologies are used as knowledge representation models. Automatic integration of ontologies is a difficult task as they are developed for different contexts by different developers. Ontologies from same domain may differ in their syntax, semantics and also in their structure. Information processing across ontologies in a semantic web is possible only when they are semantically mapped to each other. In this paper, we have proposed a hybrid automatic ontology mapping algorithm for mapping OWL based ontologies. The proposed mapping algorithm uses syntax semantics and structural mappings of entities present in the contributing ontologies. The mapping algorithm is tested for mapping university ontologies downloaded from web. The result shows that our approach outperforms existing mapping techniques in terms of the evaluation measures precision and F-measure.