基于本体语义检索技术研究

网络信息的激增和多样化给有效的信息检索带来了种种困难,目前的检索工具仅提供了基于关键字的检索,而忽视了关键字本身所含的语义内容.该文提出的图书信息检索系统,利用本体论中概念规范、语义丰富的特点,将用户的检索要求扩充成语义集.并且将检索到的文档通过文档分析器进一步过滤,使用户最终得到与检索要求内容匹配度较高的文档.

Sementic Retrieval Research Based on Ontology

The rapid growth and diversities of Web information bring a lot of difficulties to the efficient information-retrieval. The current information retrieval tools just offers keywords-based searching, but ignores the semantic content of the key- words itself. The author＇s library information retrieval system takes advantage of ontology, it expands the requirement of users to the sementic words sets and provides the document analyzer that can filter the Web pages returned by the search agent according to the certain algorithm.Consequently it presents the most relavant documents to the users.