基于本体语义检索技术研究

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。本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 的文档。

Semantic Retrieval Research Based on Ontology

The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval.The current information retrieval tools just offer-based searching,but ignore the semantic content of the keyword itself.The authors' library information retrieval system takes advantage of ontology,which expands the requirements of users to a semantic word set,and provides a document analyzer to filter the Web pages returned by the search agent according to a certain algorithm.Consequently it presents the most relavant documents to the users.