Abstract
This paper proposed an Expert System for Tractor Fault Diagnosis (ESTFD) based on ontology and web technologies. The ESTFD consists of several components such as diagnosis interface, OWL reasoner, explanation module, ontology base and database etc. The diagnosis interface was designed as web interface, which could support users to access the ESTFD by internet anytime and anywhere. A domain ontology, tractor fault diagnosis ontology, was constructed to build ontology base. The OWL API was called to manipulate the ontology base. The OWL reasoner, Pellet, was used to make logical reasoning and generate explanations for the process of logical reasoning. The ESTFD could provide tractor fault diagnosis service via internet to tractor maintenance personnel and drivers who located in the wide rural areas in China. Since the ESTFD has explanation module to explain how the diagnostic results was obtained, it also could be used as a training tool .
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Acknowledgements
This project was granted financial support from Agriculture Department of Guangdong Province, China (5600-H09278). This work was conducted using the Protégé resource, which is supported by grant LM007885 from the United States National Library of Medicine.
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Wu, C., Ouyang, Q., Yu, S., Deng, C., Mao, X., Hong, T. (2016). An Expert System for Tractor Fault Diagnosis Based on Ontology and Web. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_48
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DOI: https://doi.org/10.1007/978-981-10-0356-1_48
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