Computer and Modernization

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Construction and Application of Intelligent Question Answering System#br# for Water Conservancy Information Resources

  

  1. (College of Computer and Information, Hohai University, Nanjing 211100, China)
  • Received:2019-07-04 Online:2020-03-24 Published:2020-03-30

Abstract: Currently, the question-answering system in specific fields mainly adopts the method based on keyword matching to complete the question-answering, which is similar to the construction time and height of the reservoir dam, and cannot fully understand the retrieval intention of users natural language questions and give accurate answers. Therefore, this paper designs and develops an intelligent question answering system for water conservancy information resources based on knowledge mapping technology and semantic analysis. Aiming at the problem of semantic gap caused by the multi-step operation of transforming the natural language questions into structured query statements. This paper also proposes a corpus expansion method to build corpus in order to accumulate user corpus for the subsequent questions and answers based on knowledge representation.

Key words: knowledge graph, intelligent question and answer, semantic analysis, representation learning

CLC Number: