文献类型：期刊文献

英文题名：Employing ontology to build the engine fault diagnosis expert system

作者：Yi, Jianjun[1,2]; Ji, Baiyang[2]; Chen, Changming[1]; Tian, Xiaoqiang[1]

机构：[1] Department of Mechanical Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Sunyard System Engineering Co., Ltd., Hangzhou 310053, China

年份：2009

卷号：2

起止页码：631

外文期刊名：2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

收录：EI(收录号：20094712464991)

语种：英文

外文关键词：Ontology - Fault detection - Engines - Expert systems

摘要：Expert system is the promising method to help the car users to diagnose and repair the faulty car. Unfortunately, the traditional expert system has heavy architecture, requires large scale data and space resource to keep its normal work, the development of its reasoning mechanism will consume much time and works. The concept of Ontology in knowledge engineering is introduced to construct the engine fault diagnosis system(EFDS) in this paper. The domain-ontology knowledge base, structure definition of the fault diagnosis and reasoning description are demonstrated in detail. The ontology developing tool(Protégé), the reasoning description tool(Jena) and the developing procedure for this system are discussed as well. Taking advantage of Ontology in artificial intelligence(AI) and the conceptualization of Domain knowledge, the Knowledge Base(KB) and the logic reasoning based on Ontology are developed to EFDS. Ontology can facilitate the reasoning mechanism of Expert System(ES) thus alleviate the workload of developing expert system. ? 2008 IEEE.