A Method of Ontology Mapping Based on Instance

Ontology mapping is the key point to reach interoperability over ontologies. In semantic Web environment, ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. Many efforts have been conducted to automate the discovery of ontology mapping. However, some problems are still evident. This paper proposes an ontology similarity calculation method; this method constructs virtual instances for every concept node and takes the structure of ontology into consideration. We apply this method to PROMPT algorithm for ontology mapping and get a higher accuracy and recall through experiment.