Semantic Retrieval for Ontology-Based Aircraft Fault Knowledge

Abstract:

With consideration of the actual requirement of fault knowledge retrieval in current aviation maintenance, semantic retrieval method for ontology-based aircraft fault knowledge is studied. Based on the concepts of semantic and semantic retrieval, it is proposed that the knowledge representation of ontology is applicable for semantic retrieval. On the basis of aircraft fault ontology model, the semantic retrieval model has been established, and the concept-matching similarity algorithm using semantic distance of ontology concepts is proposed. In the semantic retrieval method, the depth factor and density factor of ontology model are expressed, and the semantic distance calculation and the transformation function from semantic distance to conceptual similarity are proposed. The semantic retrieval research provides support for efficient application of ontology-based aircraft fault knowledge.

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 3410-3417
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.3410
• Online since: June 2014
• Authors: Yang Zhou*, Bin Tian, Zhao Yang Zeng, Zhi Yu Jia, Yan Zhou
• Keywords: Aircraft Fault, Knowledge Retrieval, Ontology, Ontology of Aircraft Fault, Semantic Retrieval

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