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基于中文词义概念的Web信息分类检索研究
引用本文: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.
作者姓名:王兰成  蒋丹  李超
作者单位:1. 解放军南京政治学院上海分院信息管理系,上海,200433
2. 上海交通大学,上海,200030
摘    要:通过领域范畴索引构建网上中文信息分类检索的语义环境,使主题检索受控于范畴分类,并在此基础上研究了一种新型的Web信息分类检索方法,并证明概念词检索定位在主题类目下其查准率有进一步的提高。该研究应用于多种搜索引擎查找以不同类目归类的同一内容信息时,在类目名称与实际内容不一致情况下用户也能在同一类目下找到相关内容的信息。

关 键 词:信息分类  检索技术  范畴索引
收稿时间:2005-06-03
修稿时间:2005-06-03

Research on Web Information Retrieval of Theme Classification  Based on Chinese Word Concept
Wang Lancheng,Jiang Dan,Li Chao.Research on Web Information Retrieval of Theme Classification  Based on Chinese Word Concept[J].New Technology of Library and Information Service,2005,21(10):35-37.
Authors:Wang Lancheng  Jiang Dan  Li Chao
Institution:1 Department of Information Management Nanjing Political College PLA, Shanghai 200433, China; 2 Shanghai Jiaotong University, Shanghai 200030, China
Abstract: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.
Keywords:Information classification Retrieval technology Category indexing
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