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具有概念联想功能的语义关系库的自动构建
引用本文:谢桂芳,李仁发.具有概念联想功能的语义关系库的自动构建[J].计算机工程与应用,2007,43(7):177-178,201.
作者姓名:谢桂芳  李仁发
作者单位:[1]湖南大学软件学院,长沙410012 [2]湘南学院计算机系,湖南郴州423000 [3]湖南大学计算机与通信学院,长沙410012
摘    要:语义检索的关键技术就是语义扩展。文中利用基于带衰减因子的词共现模型计算公式来获得词与词之间相关性信息资源.从而给出了用于信息检索系统中的语义关系库完整的自动构建方法。将生成的语义关系库用于SMART信息检索系统中以实现语义扩展:实验结果证明:具有语义关系库的SMART信息检索系统比原不具有语义关系库的SMART信息检索系统提高了检索效率,特别是大大地提高了查全率。

关 键 词:语义关系库  语义扩展  相似度  词共现
文章编号:1002-8331(2007)07-0177-02
修稿时间:2006-11

Automatic creation of semantic relation database with concept association
XIE Gui-fang,LI Ren-fa.Automatic creation of semantic relation database with concept association[J].Computer Engineering and Applications,2007,43(7):177-178,201.
Authors:XIE Gui-fang  LI Ren-fa
Affiliation:1.College of Software, Hunan University,Changsha 410012,China ;2.Computer Department,College of Xiangnan,Chenzhou,Hunan 423000,China; 3.College of Computer and Correspondence, Hunan University,Changsha 410012, China
Abstract:Semantic retrieval pivotal technique is semantic expansion.The paper makes use of the calculation formula based on the words co-occurrence model with attenuation gene to obtain relativity information resources for word and word.Then,it concludes a complete automatic method to construct a semantic relation database used by information retrieval system.Finally,it uses the constructed semantic relation database for SMART information retrieval system to realize semantic expansion.Experimental resuits prove the SMART information system with semantic relation database improves better retrieval efficiencies than the general one ,especially,it improves consumedly query whole rates.
Keywords:semantic relation database  semantic expansion  similarity measurement  words co-occurrence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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