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基于概念检索的中文搜索引擎的设计与实现
引用本文:谭义红,王鑫,周铁军.基于概念检索的中文搜索引擎的设计与实现[J].计算机应用与软件,2006,23(5):38-40.
作者姓名:谭义红  王鑫  周铁军
作者单位:1. 长沙大学信息与计算科学系,湖南,长沙,410003
2. 中南林学院现代实验,爰际踔行,湖南,长沙,410006
摘    要:构建语义库和扩展查询是影响概念检索效率的主要因素。提出一种自动构建语义库和相关性查询扩展的方法,方法利用关联规则挖掘技术,自动从文档中导出概念/词语之间相关性及层次关系,构建关联库,再通过关联库,对查询请求进行相关性扩展,以实现概念检索。实验结果显示,方法是有效的,能提高信息检索的查全率和查准率。

关 键 词:概念检索  搜索引擎  查询扩展  关联规则
收稿时间:05 30 2005 12:00AM
修稿时间:2005-05-30

DESIGN AND IMPLEMENTATION OF CONCEPT-BASED RETRIEVAL FOR CHINESE SEARCH ENGINE
Tan Yihong,Wang Xin,Zhou Tiejun.DESIGN AND IMPLEMENTATION OF CONCEPT-BASED RETRIEVAL FOR CHINESE SEARCH ENGINE[J].Computer Applications and Software,2006,23(5):38-40.
Authors:Tan Yihong  Wang Xin  Zhou Tiejun
Affiliation:1.Department of Information and Computing Science, Changsha University, Changsha Hunan 410003, China; 2 . Center of Modern Experiment and Technology, Central South Forestry University, Changsha Hunan 410006, China
Abstract:Building semantic database and Expanding Query are the most important factors of concept-based retrieval.this paper puts forward a method of query expansion based on the association rules-based database(semantic database).In the method,firstly,the associations between concept/words entry and the concept layers are derived from the documents automatically by the technology of mining association rules,with which the association rules-based database is built,then queries are expanded based on the database.The experimental results show that this method is efficient,and the accuracy of retrieval is improved.
Keywords:Concept-based retrieval Search engine Query expansion Association rules
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