节点文献
基于词项扩展的XML信息检索反馈技术
Feedback Technique for XML Information Retrieval Based on Term Expansion
【摘要】 为提高XML信息检索的查询准确率,提出一种基于词项扩展的XML信息检索反馈技术。利用词项所在节点的语义权重、词项与查询词间的相邻频度、共现程度,评估词项权重并排序,取权重较大的词项对初始检索词进行扩展,给出各因子的计算方法。在Wikipedia2009数据集上的实验结果表明,扩展后的查询准确率较高。
【Abstract】 In order to improve the precision rate of XML information retrieval,this paper proposes a feedback technique for XML information retrieval based on term expansion.It considers lexical semantic weights of nodes,adjacency frequency between lexical items and queries,and local co-occurrence between terms and keywords in computing term weight.Experimental results on Wikipedia2009 data set show that the proposed technique can improve the precision rate.
【关键词】 XML信息检索;
词项扩展;
反馈;
语义权重;
相邻频度;
【Key words】 XML information retrieval; term expansion; feedback; semantic weights; adjacency frequency;
【Key words】 XML information retrieval; term expansion; feedback; semantic weights; adjacency frequency;
【基金】 国家“863”计划基金资助重点项目(2009AA1Z134);国家自然科学基金资助项目(60803043,60720106001)
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2011年20期
- 【分类号】TP391.3
- 【被引频次】2
- 【下载频次】101