局部上下文分析剪枝概念树的查询扩展  

Query Expansion with LCA Based Concept Tree Pruning

作　　者：张超盟[1] 李战怀[1] 温宗臣[1] 

机构地区：[1]西北工业大学计算机学院,西安710072

出　　处：《计算机工程》2009年第14期45-48,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60573096)

摘　　要：介绍一种局部上下文分析(LCA)剪枝概念树的方法。利用LCA方法初次检索的与原查询最相关的文章作为备选扩展词的来源,用扩展词剪枝语义词典构造的概念树,补充概念树上不存在的新词,并重新计算扩展词权重。实验表明,在相同的实验条件下该扩展方法查询性能有较大的提高。This paper proposes a novel query expansion method using Local Context Analysis（LCA） based concept tree pruning. It extracts the suggested terms from initial documents which are retrieved for the original query by LCA method, and uses these terms to prune the concept tree built by lexical database, to add new terms, and to recalculate the weight of expanding terms. Experiments show that the combined expansion yields significant improvements over existing algorithms under the same experimental condition.

关 键 词：查询扩展 概念树 局部上下文分析 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]