New construction for expert system based on innovative knowledge discovery technology

• Published in: Science China. Information sciences Vol. 50; no. 1; pp. 29 - 40
• Main Authors: Yang, BingRu, Song, Wei, Xu, ZhangYan
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer Nature B.V 01.02.2007; School of Information Engineering, University of Science and Technology Beijing, Beijing 10083, China
• Subjects: Expert systems; Knowledge acquisition; Knowledge bases (artificial intelligence); System effectiveness; 专家系统; 知识发现; 知识工程; 知识收集; expert system; knowledge discovery; double-basis fusion mechanism; double bases cooperating mechanism; ESKD; KD (D&K)
• ISSN: 1009-2757; 1674-733X; 1862-2836; 1869-1919
• DOI: 10.1007/s11432-007-0010-0

Knowledge acquisition Is the bottleneck of expert system. To solve this problem, KD （D＆K）, which is a comprehensive knowledge discovery process model coopersting both database and knowledge base, and related technology are proposed. Then based on KD （D＆K） and related technology, the new construction of Expert System based on Knowledge Discovery （ESKD） Is proposed. As the key knowledge acqulsltlon component of ESKD, KD （D＆K） Is composed of KDD＊ and KDK＊. KDD＊- the new process model based on double bases cooperating mechanism; KDK＊- the new process model based on double-basis fusion mechanism are Introduced, respectively. The overall framework of ESKD Is proposed. Some sub-systems and dynamic knowledge base system are discussed. Flnelly, the effectiveness and advantages of ESKD are tested In a real-world agriculture database. We hope that ESKD may be useful for the new generation of expert systems.