文献类型：会议论文

英文题名：Research on knowledge modelling for the automotive fault diagnosis system based on Ontology

作者：Zhao, Shaohua[1]; Yi, Jianjun[1]; Cheng, Yin[1]; Fan, Tijun[1]; Gu, Chunhua[2]

机构：[1] Dept.of Mechanical Engineering, East China University Of Science and Technology, Shanghai 200237, China; [2] School.of Information Engineering, East China University Of Science and Technology, Shanghai 200237, China

会议论文集：2nd International Conference on Information Science and Engineering, ICISE2010 - Proceedings

语种：英文

外文关键词：Domain Knowledge - Application programming interfaces (API) - Ontology - Semantics - Fault detection

摘要：This paper catches the knowledge of the automotive fault diagnosis domain, provides a common understanding of the domain knowledge, determines the common vocabularies which are recongnized by the domain, and gives explicit definition of the relations between the vocabularies from different levels of formal module. Using Protégé builds the domain knowledge module, using RacerPro checks the module, and makes the module as the semantics basement of the system. Using Jena API analyses the Ontology module, and combines SPARQL and Rules to query and reason it. ? 2010 IEEE.