王怡斌

Due to the advent of knowledge-based economy and distributed enterprises, the enterprises get the knowledge not only from themselves but also others. In order to support knowledge integration in the distributed enterprises, the distributed case-based reasoning systems（DCBRs） plays an important role in the knowledge and experience sharing. Up to the present, researches on DCBRs focus merely on retrieving cases in the same system and using a pre-defined standard of domain knowledge for knowledge sharing, but the needs of sharing knowledge among heterogeneous CBR systems have not been considered. In addition, traditional CBR systems only provide similar cases without performing case adaptation. The objective of the research is to develop a mechanism for ontology-based distributed case-based reasoning using characteristic of ontology and a proposed multistage algorithm. This thesis proposes a distributed CBR system architecture and uses ontology to solve the semantic mismatch problems between heterogeneous cases as well as the problems of case adaptation without involvement of domain experts. The results of this study will enable heterogeneous knowledge retrieval in distributed enterprises and thus facilitate knowledge sharing.