Title :
Ontology-based reconfigurable case-based reasoning system for knowledge integration
Author :
Wang, Yinglin ; Hu, Tao ; Zhang, Shensheng
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
Abstract :
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.
Keywords :
case-based reasoning; knowledge acquisition; knowledge based systems; knowledge management; problem solving; case templates; cased-based reasoning; fixed index structure; knowledge integration; knowledge management framework; ontology; problem solving strategy; reconfiguration; user-interfaces; workflow based knowledge acquisition method; Computer science; Knowledge based systems; Knowledge engineering; Knowledge management; Ontologies; Problem-solving; Process design; Product design; Production systems; Statistical analysis;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1245755