Abstract
The lack of a comprehensive retrieval method for aircraft fault case knowledge had caused some sharing and reusing problems. To deal with this, research about the method of knowledge representation and semantic retrieval method based on ontology was carried out. 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. With Chinese segmentation tools and Lucene retrieval tools, three main issues in semantic retrieval were solved, namely, fault case indexing, semantic extension and ranking mechanism. A new semantic similarity calculation method focus on semantic distance, hierarchical factor, coincidence of superior and subordinate concepts was proposed. The original ranking mechanism was modified according to the semantic similarity. The prototype system of semantic retrieval was developed based on this approach and was used successfully to raise the precision and recall values. Results show that user’s requirements in semantic retrieval were satisfied.
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