基于关键词与语义概念结合的信息检索研究  

Research into information retrieval based on the combination of keyword and semantic concept

作　　者：张映海[1] 何中市[1] 

机构地区：[1]重庆大学计算机学院

出　　处：《计算机应用》2006年第12期2964-2966,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60173060)

摘　　要：对关键词和概念检索的原理进行分析后,提出了一种基于语义概念检索的向量空间模型以及该模型与关键词检索结合的检索方法。在不同的检索领域,可以通过调整该检索方法中的结合参数达到最好的检索效果。实验结果表明,语义概念检索的向量空间模型的性能优于关键词检索的向量空间模型;结合检索方法既能保留关键词检索和概念检索的优点,也能弥补各自的不足。After analyzing the principle of keywords and concept retrieval, a new vector space model named SC-VSM based on the semantic concept retrieval was proposed. Meanwhile, based on the combination of SC-VSM and keywords retrieval, an approach was presented in which the combination parameters can be adjusted according to different domains in order to obtain the best information retrieval result. Experimental results show that the SC-VSM is superior to the VSM, the cond3inative approach can not only reserve the advantages of keywords retrieval and concept retrieval, but also compensate for their shortcomings.

关 键 词：关键词 语义概念 信息检索 结合 相似度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]