Ontology-based reconfigurable case-based reasoning system for knowledge integration
Yinglin Wang, Tao Hu, Shensheng Zhang · 2004
Cased-based reasoning (CRB) is a methodology that follows mankind's problem solving strategy. Most traditional CBR systems are built in a fixed index structure and they cannot be easily adapted to fit new environment. In this paper a KM framework is proposed that combines ontology, case templates and case-based reasoning to solve the problems. In this framework, enterprise ontology provides the basis for integration among knowledge resources. Case templates can be reconfigured based on the enterprise's ontology by the user. The knowledge structure and the user-interfaces of the system knowledge structure and the user-interface of the system can be reconfigured so that the system can suit for an enterprise whose knowledge structure and the requirement for knowledge management system change rapidly. Besides, a workflow based knowledge acquisition method is also discussed that assures the quality of the knowledge acquired.