The Survey For Ontology Matching

An ontology enhances interoperability among applications via the Web. However, heterogeneity between ontologies blocks interoperability across ontologies via the Web. This paper introduces the classification of information used to matching ontologies, presents matching technologies in some aspects, and gives a brief outlook of these technologies, such as similarity flooding, coefficient computation, graph matching, machine learning, Bayesian decision theory, background knowledge discovering and exploiting. We believe this paper provides readers with a comprehensive understanding of ontology matching and points to various research topics about the specific roles of ontology matching.