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Volume 41 Issue 6
Jun.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(6): 1080-1086.
KE Qianyun, LI Qing, SUN Yonget al. Fault case information extraction method research based on ontology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(6): 1080-1086. doi: 10.13700/j.bh.1001-5965.2014.0419(in Chinese)
Citation: KE Qianyun, LI Qing, SUN Yonget al. Fault case information extraction method research based on ontology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(6): 1080-1086. doi: 10.13700/j.bh.1001-5965.2014.0419(in Chinese)
shu

Fault case information extraction method research based on ontology

doi: 10.13700/j.bh.1001-5965.2014.0419
  • 1.

    School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • 2. Comprehensive Security Department, AVIC Chengdu Aircraft Design Institute, Chengdu 610000, China

  • Received Date: 11 Jul 2014
  • Publish Date: 20 Jun 2015
    Abstract
  • To solve the accumulation and reusing problems of fault case knowledge that are described as unstructured and unnormalized information in the current maintenance support activities of aircraft, research on the knowledge representation and information extraction method of aircraft fault case was carried out. Firstly,ontology model of aircraft fault case knowledge was established according to the particularity of aircraft fault domain and the actual demand of knowledge sharing and reusing. Then with Chinese segmentation tools and general architecture for text engineering (GATE) frame, semantic annotation and rule based information extraction technology of aircraft fault case documents were studied. Finally, the hidden knowledge was discovered by using apache Jena inference engine, and knowledge base was expanded by the new knowledge found in the process of information extraction. Moreover, the prototype system for information extraction was developed and was used to extract structured fault case information from different types of documents, the information was then stored and managed by using database. This method was proved feasible to improve the reusability of fault case knowledge.

     

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