Research And Development On Vehicle Maintenance Knowledge Management System Based On Ontology

In recent years, global auto production and sales continue to refresh the record. China has become the most vitality automotive market of the world. Auto after-sales service is an important part of the Product Lifecycle Management, but what incompatible with the name "world’s biggest auto market" is that the development of our country in the field of auto after-sales service is lagging behind. There are many causes of auto companies less competitive in after-sales services, such as maintenance equipment is relatively backward, service network construction is unfavorable, maintenance level is varies greatly, and so on. Whether the automotive service timely, efficient, ensure the quality or not directly affects the service level of customer’s thoughts, thus affecting customer satisfaction and customer loyalty. How to speed up the construction of after-sales service network, to make first line maintenance staffs quickly grasp the repair skills and knowledge has a high research value.According to WP enterprises currently realize the extent of informatization, and analysis the current situation and new demands for maintenance services that exist in their enterprise, based on the after-sales service system, combined with the domain knowledge of vehicle maintenance, establish an ontology based vehicle maintenance knowledge management system. Firstly knowledge modeling for vehicle maintenance service area. Then design a New Hybrid Ontology Storage Pattern for relational database. Establish Maintenance services knowledge database, and enhance the ontology query efficiency and scalability in relational database. Then apply description logic based ontology reasoning techniques to auto fault diagnosis, and to verify the effect of reasoning when a variety of fault mixing described.Consider the knowledge system functionality and performance requirement. System selects the current commonly used software model. Achieve a B/S three-tier model of knowledge management system development in the.NET environment. This system can share auto maintenance knowledge, improve the efficiency of fault diagnosis by maintenance staff, and quickly determine the maintenance program, to achieve savings vehicle maintenance time and costs at last. By the ontology based vehicle maintenance knowledge management system, enterprise can not only achieve effective organization and management for the maintenance knowledge, but also have more fully utilized and reasoning for the knowledge. This paper has certain research significance both in theoretical and practical.