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基于Ontology的自然语言智能检索技术研究
引用本文:饶娟.基于Ontology的自然语言智能检索技术研究[J].科技信息,2008(33):60-60.
作者姓名:饶娟
作者单位:甘肃联合大学数学与信息学院;
摘    要:本文针对信息检索中的重要问题,即自然语言的智能检索技术进行了研究。应用Ontology的理论方法对文本分类进行概念控制,将信息检索从基于关键词提高到基于知识(概念),从概念层认识和处理用户的检索请求,有效的提高了检索系统的检全率和检准率,在自然语言语义查询、多媒体信息检索中得到较好的实践效果。

关 键 词:本体  文本分类  概念控制  语义网络

Research on the Technology of Intelligent Retrieval of Natural Language Based on Ontology
Rao Juan.Research on the Technology of Intelligent Retrieval of Natural Language Based on Ontology[J].Science,2008(33):60-60.
Authors:Rao Juan
Institution:Rao Juan(Mathematics , Information College,Gansu Association University,Lanzhou Gansu 730000,China)
Abstract:In this paper,we have researched on the most important retrieval problem,natural language intelligent retrieval(NLR).Using ontology theory and method to solve problem of text categorization by knowledge controlling,we can change the traditional way of retrieval from the lower based on key words to the higher knowledge.In such a new method,we can search information on knowledge given by the user's request.It also enhanced the performance of system precision and efficiency,especially in NLR and Multimedia Inf...
Keywords:ontology  text categorization  knowledge controlling  semantic Network  
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