Research on knowledge modelling for the automotive fault diagnosis system based on Ontology
Shaohua Zhao, Jianjun Yi, Yin Zhong Cheng, Tijun Fan, Chunhua Gu · 2010
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.