The semantic environment of Chinese information classification retrieval on net has been found through field category index in the paper. Theme retrieval is controlled category classification and a kind of new Web information classification retrieval method has been studied and realized. The precision ratio based on the new method is raised further when concept word retrieval has been located in theme classification by some experiment. There are different theme classifications for seeking same content information by some search engines. When the class name is not consistent with actual content, the information of different content may be found under same classification.
王兰成,蒋丹,李超. 基于中文词义概念的Web信息分类检索研究[J]. 现代图书情报技术, 2005, 21(10): 35-37.
Wang Lancheng,Jiang Dan,Li Chao. Research on Web Information Retrieval of Theme Classification Based on Chinese Word Concept. New Technology of Library and Information Service, 2005, 21(10): 35-37.
1李蕾等基于语义网络的概念检索研究与实现情报学报,2000(5):525-531
2J.F.Martinez-TrinidadA Tool To Discover The Main Themes In A Spanish Or English Document,Expert System With Applications,2000,319-327
3Wolff J E,et al.Searching and browsing collections of structural information,In:Proc. of the IEEE Advances in Digital Libraries,2000,141-150
4Loh S,et al,,Concept-based knowledge Discovery in Texts Extracted from the Web,ACM SIGKDD,2000,29-39
5李源等基于概念语义空间的联想检索. 北京科枝大学学报,2001(12):577-580
6王兰成, 田梅. 基于主题等级概念知识库的信息自动检索应用研究情报学报,2004(1):40-44
7Schank,R.C.;J.L.Kolodner and G.DeJong,Conceptual Information Retrieval,In Oddy,R.N.et.al.(eds.),Information Retrieval Research, 1981,94-116,London:Butterworths
8侯双.基于主题语义环境的网上中文信息检索研究:[硕士学位论文].上海:南京政治学院上海分院,2004