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.
出处
《计算机工程与设计》
CSCD
北大核心
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)
