一种混合的文本信息检索模型研究  

Research on hybrid text information retrieval model

作　　者：周竹荣[1] 黄果[1] 周亭[1] 

机构地区：[1]西南大学计算机与信息科学学院,重庆400715

出　　处：《计算机工程与设计》2007年第11期2671-2673,2710,共4页Computer Engineering and Design

摘　　要：通过对基于统计的信息检索模型和基于本体的信息检索模型进行分析比较,得知这两种模型在某种程度上互补:基于统计的信息检索模型强调关键字的统计信息,然而忽略了关键字之间的语义信息;基于本体的信息检索模型强调关键字之间的语义信息,然而忽略了关键字的统计信息。结合两种信息检索模型各自的优点提出了一种混合的信息检索模型。实验证明该模型在查全率和查准率方面较基于统计的信息检索模型和基于本体的信息检索模型有了一定的改进．Through the comparison between statistical-based and ontology-based information retrieval model, it shows that the two reinforce each other in some degree. The statistical-based information model emphasizes the statistical information of the key words, but at the same time ignores the semantic information between the key words. And the ontology-based information retrieval model behaves on the contrary. So, a hybrid information retrieval model is put forward by taking the advantage of the two models mentioned above. It is proved that compared with the statistical-based and ontology-based models, the presented model is obviously improved in the ratio of completeness and correctness.

关 键 词：信息检索 本体 向量空间模型 语义相似度 混合信息检索模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]