Ontology-based automatic mapping technology for heterogeneous common information model

Common Information Model (CIM) provides a unified information model for distribution automation, which is the premise for interactive information of smart distribution network. However, with the rapid update and private extension of CIM, the information models of different systems may remain heterogeneous and make information exchange difficult. Traditional solution costs too much human efforts to accomplish differences analysis work. This paper based on ontology model proposed a mapping algorithm to automatically map heterogeneous CIM. With only very few manual review, it can provide mapping solution for heterogeneous model transformation efficiently, which benefits the integration of heterogeneous distribution information model. The accuracy of proposed algorithm has also been verified through test case.