基于本体的机械零件知识库语义查询

Semantic Query of Mechanical Parts Knowledge Base Based on Ontology

针对当前机械零件知识库系统,在机械设计问答系统中查询效率低下的问题,为其建立语义查询,用以提高系统的查全率和查准率。文中设计了基于本体概念的相似度和相关度查询扩展处理过程,通过对用户初始查询输入的扩展,提高机械零件知识库查询检索效率并使用Lucene为系统建立机械零件信息查询索引。通过实验证明,基于知识库的语义查询效率明显提高。

A semantic query for the knowledge base with the idea of ontology is proposed to improve the query efficiency and precision of the mechanical design question - answering system. The article designs the query expansion process of the similarity and relevancy based on ontology concept, to improve the query efficiency of the knowledge base via the extension of the initial query term from user input, and creates the index of the machine part info using Lucene. Experiments verifies that the semantic query based on the knowledge base significantly improves the query efficiency.