基于Ontology的Web信息检索系统研究  

Study on web information retrieval system based on ontology

作　　者：王存刚[1] 王斌[2] 姚文琳[3] 许莉莉[1] 

机构地区：[1]聊城大学计算机科学与技术学院,山东聊城252059 [2]北京科技大学应用学院,北京100083 [3]中国海洋大学计算机系,山东青岛266071

出　　处：《计算机工程与设计》2008年第24期6316-6319,共4页Computer Engineering and Design

基　　金：山东省自然科学基金项目(Y2005G06)

摘　　要：传统的信息检索技术以关键字匹配为主,缺乏语义推理能力,对用户的查询请求没有提供语义制导,因此造成信息的误检、漏检。将Ontology用于Web信息检索,分析了Ontology的语义表达能力,提出了基于Ontology的信息检索系统模型(MIRSO)。MIRSO能够对用户提供语义制导,将用户的查询条件映射为领域Ontology的概念和关系,使用户的需求表达和信息内容精确匹配。实验结果表明,该方法能够提高信息检索系统的查准率。Traditional information retrieval technology is mainly based on keyword matching and has little semantic inferring ability. Moreover it does not provide semantic guidance for users. So information retrieval system may miss some information that users really want and return some information that users don＇t want. Ontology is used for information retrieval technology. The ability of ontology for semantic expression is analyzed and a model of information retrieval system based on ontology （MIRSO） is proposed. MIRSO can give semantic guidance for users and translate user＇s query conditions into concepts and relationships in domain ontology so that users＇ request expression can match web information precisely. According experimental results, this method can increase the precision of information retrieval.

关 键 词：ONTOLOGY 信息检索 语义检索 语义映射 语义标注 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]