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China Terminology ›› 2021, Vol. 23 ›› Issue (3): 26-32.doi: 10.12339/j.issn.1673-8578.2021.03.004

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Constructing of ATHowNet: A Semantic Knowledge Base for Aviation Terms

WANG Peiyan(), ZHANG Guiping(), CAI Dongfeng()   

  • Received:2021-02-26 Revised:2021-05-11 Online:2021-07-05 Published:2021-06-28

Abstract:

Semantic knowledge base plays an important role in many areas of natural language processing. Existing semantic knowledge bases are produced mainly for common sense knowledge, and there is few semantic knowledge base for specific domains. This paper extends the theory and concept representation method of HowNet to the aviation domain, proposes a semantic knowledge base for aviation terms, ATHowNet, and describe the process of constructing it. This knowledge base contains 3700 concepts, 3959 relations and 3864 terms. ATHowNet is applied and verified in the task of aviation term similarity calculation and word analogy. The results show that ATHowNet is effective in aviation domain concept description and reasoning based on concept relationship.

Key words: semantic knowledge base, aviation terms, concept, concept relation

CLC Number: