Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.375
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.
Ontology; Knowledge Base(KB); Engine Fault Diagnosis; Reasoning Description
J. Yi, C. Chen, B. Ji and X. Tian, "Employing Ontology to Build the Engine Fault Diagnosis Expert System," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 631-635.