基于语义概念树和局部上下文分析的查询扩展

针对信息检索中因文档与查询词之间的不匹配而影响信息检索效果的问题,提出了一种结合基于语义概念树和局部上下文分析的查询扩展模型。该模型对用户提交的查询关键词进行扩展,扩展词来源于基于语义概念树和局部上下文分析的扩展词。实验结果表明,与单纯采用局部上下文分析方法(LCA)相比,该方法有更优的检索性能。

Query Expansion Based on Semantic Concept Tree and Local Context Analysis

In information retrieval,the mismatch between documents and queries is one of the most important matters to influence the effect of retrieval.To solve this problem,a query expansion model was presented.The model combines with semantic concept tree and local context analysis.In this model,the words of query expansion are based on semantic concept tree and local context analysis.Experimental results show that this method offers more effective retrieval performances,compared with LCA based expansion method.