Volume 35 Issue 2
Feb.  2009
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Wen Jingqian, Li Qing. Ontology-based semantic similarity computation for maintenance CBR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(2): 223-226. (in Chinese)
Citation: Wen Jingqian, Li Qing. Ontology-based semantic similarity computation for maintenance CBR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(2): 223-226. (in Chinese)

Ontology-based semantic similarity computation for maintenance CBR

  • Received Date: 20 Jul 2008
  • Publish Date: 28 Feb 2009
  • CBR(case-based reasoning) finds solutions for new problems based on previous experience. It is suitable for such applications as aircraft maintenance knowledge acquisition, representation and reuse. With consideration of some special characteristics of aviation maintenance, such as spot recording, reliability analysis and fault disposal, firstly the classification and the relationship of the relevant maintenance knowledge and information were investigated, and then the definitions of domain knowledge and case knowledge of maintenance were provided. Ontology models for product structure, maintenance inventory, failure mode, failure causation, and data dictionary were developed and the consistency in the knowledge description was realized. The case model architecture and retrieval technique were studied in detail, and an ontology-based semantic similarity computation method was proposed and applied to maintenance case recall and match. The method combined the depth and out-degree as two main influences for the similarity of concept model. Finally, an aircraft maintenance knowledge management system was developed. An application example shows that the method can benefit the aircraft maintenance.

     

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