A Rule-Based Expert System with Multiple Knowledge Databases

In this paper, a new rule-based expert system with multiple knowledge databases is designed according to the characteristics of the domain expert knowlege and its representation. Compared with classic expert system, the new system has a number of corresponding knowledge bases according to the sub-problems of a complex problem. And each knowledge base includes a shallow knowledge base of the empirical knowledge and a deep knowledge base of the scientific knowledge. The inference engine of the system adopts two-level inferring structure, the inference at system level and the one of sub-problem, which can reduce the searching space quickly and work efficiently. The system runs well over internet.