摘要
针对信息检索中存在的词不匹配问题,提出一种结合本体理论和用户相关反馈技术的查询扩展算法,并以FirteX作为检索平台进行仿真实验。实验结果表明该方法比基于余弦相似性的查询扩展方法在平均查全率、平均查准率方面更为精确。
A query expansion algorithm is presented for information retrieval to deal with the probcem of words do not match, which combines ontology theory with correlative user＇s feedback technology. And the proposed method is verified with the retrieval platform of FirteX. The experimental results show that it is more accurate than the method based on cosine similarity at the average search＇ s recall ratio and the average search＇ s precision ratio.
出处
《图书情报工作》
CSSCI
北大核心
2008年第12期88-91,共4页
Library and Information Service
基金
甘肃自然科学基金资助项目"图书馆开放式信息服务集成平台研究"(项目编号:3ZS051-A25-040)研究成果之一
关键词
信息检索
查询扩展
知识表示
information retrieval query expansion knowledge representation
