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基于ontology的智能答疑系统的研究
引用本文:黄新,徐小娟.基于ontology的智能答疑系统的研究[J].科学技术与工程,2007,7(12):3001-3003.
作者姓名:黄新  徐小娟
作者单位:湖南石化职业技术学院,岳阳,414012;湖南师范大学工学院,长沙,410081
摘    要:在受限领域自动问答系统中,用户问句的语义理解是提高查询效率的关键。提出了一种基于本体的自动问答系统模型,对领域知识本体的构建进行了研究。利用本体中丰富的语义关系,对用户的问题查询请求进行语义扩展,提高问答系统的准确性。

关 键 词:自动问答  本体  相似度
文章编号:1671-1819(2007)12-3001-03
修稿时间:2007-01-30

Study of Automatic Answering System Based on Ontology
HUANG Xin,XU Xiao-juan.Study of Automatic Answering System Based on Ontology[J].Science Technology and Engineering,2007,7(12):3001-3003.
Authors:HUANG Xin  XU Xiao-juan
Institution:Hunan Petrochemical Vocational Technology College, Yueyang 414012, P. R. China; Polytechnic college Hunan Normal University1 , Changsha 410081 ,P. R. China
Abstract:Semantic information plays an important role in improving the precision of automatic question-answering ontology realized system. A model of question answering system is put forward based on ontology. The building of the domain is introduced. According to the question of users, the understanding of semantics and expand of keywords is by using ontology, the query precision can be efficetively improved with the help of the knowledge and the semantic information in ontology.
Keywords:automatic question answering system  ontology  similarity
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