摘要
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。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文档。
The rapid growth and diversities of Web information bring a lot of difficulties to efficient information retrieval. The current information retrieval tools just offer keyword-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.
出处
《计算机工程与科学》
CSCD
2008年第4期17-19,94,共4页
Computer Engineering & Science
基金
国家自然科学基金资助项目(60672031)
关键词
本体
信息检索
语义
ontology
information retrieval
semantics
