Research on ITS Knowledge Integration Technology Based on Ontology

The core of Intelligent Transportation System (ITS) is intelligence. The intelligent implementation can not depart from effective usage and management for knowledge. The knowledge share and integration between systems must be established on the base of common comprehension to knowledge. As there is much semantic heterogeneous information in subsystems of ITS, the system can not share information on knowledge hierarchy. Therefore the semantic mismatching problems between systems have to be solved, i.e. the ITS integration problems on semantic hierarchy. This paper puts forward the ITS semantic integration framework based on ontology. Under this framework, according to the data's characteristic of ITS, a comprehensive semantic matching project which divides the concept similarity in semantic integration into three components of semantic similarity, description similarity and instance similarity is put forward. These three similarities finally synthesize lexical concept similarity which is called comprehensive concept similarity(CCS), make users obtain semantic correlative data, improve the integration ability on knowledge hierarchy and have great potential for enhancing system performance.