Comparing Ontologies Using Entropy

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. As the amount of ontologies is rapidly increasing, comparison or coordination (i.e. mapping, alignment, merging) of ontologies is a major challenge for bridging the gaps between agents with different conceptualizations. Therefore, in this paper, we compare ontologies using entropy which shows structural features of ontology as the average of information content. We use classified domain ontologies in the WordNet that is a kind of the linguistic ontology and analyze characteristics of domain ontologies.