基于领域本体的政务信息检索系统

Government information retrieval based on domain ontology

现有政务信息检索系统存在两个主要问题:一是采用基于关键词匹配的检索技术忽略了对用户检索条件的语义理解,缺乏对于文档实质内涵的准确描述;二是由于对政务信息领域知识的缺乏,用户不能很好地提出符合自己检索需求的检索条件。针对这些问题,提出了基于领域本体的政务信息检索方法,即通过引入本体,在文档和检索条件间建立一种基于本体的由本体中的词汇集组成的结构化的对应关系;设计并实现了相应的概念词抽取、检索条件扩展算法以及原型系统。实验结果表明,该方法在检索的查全率和查准率方面都有很大的提升。

There are two main problems in the existing government information retrieval systems.Firstly,the search technique based on keywords matching ignores the semantic information,which makes it unable to describe the document accurately.Secondly,due to the lack of domain knowledge,users are not clear about what they really want.To solve these problems,this paper presented domain ontology based government information retrieval approach,and designed the corresponding algorithm for concept extraction and query sentence extension.The experimental results show that the proposed approach improves the recall and precision ratio of the information retrieval.