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。
关键词:
XML信息检索,
词项扩展,
反馈,
语义权重,
相邻频度
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.
Key words:
XML information retrieval,
term expansion,
feedback,
semantic weights,
adjacency frequency
中图分类号:
温馨, 陈群, 娄颖. 基于词项扩展的XML信息检索反馈技术[J]. 计算机工程, 2011, 37(20): 36-38.
WEN Xin, CHEN Qun, LOU Ying. Feedback Technique for XML Information Retrieval Based on Term Expansion[J]. Computer Engineering, 2011, 37(20): 36-38.