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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaohua Zhao Yi, Jianjun Cheng, Yin Fan, Tijun Gu, Chunhua |
| Copyright Year | 2010 |
| Description | Author affiliation: Dept.of Mechanical Engineering, East China University Of Science and Technology, Shanghai 200237, China (Shaohua Zhao; Yi, Jianjun; Cheng, Yin) || School.of Information Engineering, East China University Of Science and Technology, Shanghai 200237, China (Fan, Tijun; Gu, Chunhua) |
| Abstract | 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. |
| Starting Page | 5322 |
| Ending Page | 5326 |
| File Size | 409016 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424476169 |
| e-ISBN | 9781424476183 |
| DOI | 10.1109/ICISE.2010.5691075 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ontology Query OWL Taxonomy Build module Ontologies Automotive fault diagnosis Resource description framework Reason Automotive engineering |
| Content Type | Text |
| Resource Type | Article |
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