基于领域本体的信息搜索模型

针对目前的搜索模型局限于语法层次上关键词匹配的特点,以领域本体作为知识组织方式,提出了一种语义环境下基于本体的信息搜索模型.在此模型的基础上,分别提出了文档语义标注算法和搜索词语义扩展算法,两种算法分别对文档集语义分析和搜索词语义关系理解,实现双向语义信息搜索的目的.实验结果表明,提出的信息搜索方法能够克服关键词匹配搜索的不足,获得较好的搜索效果

Information Search Model Based on Domain Ontology

The current existing search model is mainly limited to syntax based keyword matching.By establishing domain ontology as the way of knowledge organization,this paper introduces a novel information search model based on domain ontology in semantic context.Then, document semantic annotation algorithm (DRSAA) and keyword semantic expansion algorithm (KSEA) are presented.These two algorithms are utilized to analyze semantics of document set and comprehend semantic relations of user keyword respectively,which realizes the objective of bidirectional semantic information search.At last,extensive experimental results demonstrate that the proposed information search method can overcome disadvantages of keyword based search and improve the search results.