Ontology Concept Similarity in Semantic Query

Abstract

Ontology is increasingly being used to build applications that utilize domain-specific knowledge. How to process ontology-based query efficiently has received many attentions in resent research. The measurement of concept's similarity is basis and foundation of semantic query based on ontology, however, current similarity measurement of ontology concepts involves in artificial intelligence area and psychological area limit efficiency when facing the application that the information is complicated, we propose a model to measure the semantic similarity between concepts on the basis of psychological studies about similarity and artificial intelligence studies about similarity, we express how to implement semantic query. Our approach enables users to reference ontology data directly from SQL using the semantic query operators, and make the ontology-driven applications easy to develop.