利用领域本体概念关系的混合信息检索方法  

Hybrid information retrieval model using domain ontology concept relation

作　　者：熊忠阳[1,2] 赖苏[1] 张玉芳[1] 李春玲[1] 

机构地区：[1]重庆大学计算机学院,重庆400030 [2]重庆大学信息与网络中心,重庆400030

出　　处：《计算机应用研究》2011年第7期2482-2484,2501,共4页Application Research of Computers

基　　金：重庆市自然科学基金资助项目(CSTC2008BB2191)

摘　　要：利用领域本体概念关系实现语义检索,当没有可用的本体知识时,按传统关键词匹配完成检索。这种基于领域本体的混合信息检索模型融合关键词检索和语义检索的优势,弥补各自的不足,以改善检索性能。将其应用于计算机网络领域,将基于领域本体的混合信息检索模型与传统的关键词检索模型进行对比实验,结果表明混合模型的平均查准率得到了提高,验证了该模型的有效性,从而说明本方法是可行和有效的。This paper proposed a hybrid model based on domain ontology.Semantic search was realized by using the relationship of domain concepts in ontology.If there was no available domain ontology to satisfy user＇s requests,it was changed to search based on Keywords Meanwhile,it was not only exerted the advantage of Key words retrieval and semantic retrieval,but also compensated their shortcomings.The search for ontology and Key words were done.Experiment results show that the performance of hybrid search model is better than the traditional model. Key words：

关 键 词：领域本体 混合信息检索模型 关键词检索 语义检索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]