文献类型：期刊文献

中文题名：支持语义检索的知识检索模型

英文题名：A Model of Knowledge Retrieval Supporting Semantic Search

作者：李楠[1];孙济庆[1]

机构：[1]华东理工大学科技信息研究所,上海200237

年份：2005

卷号：24

期号：6

起止页码：708

中文期刊名：情报学报

外文期刊名：Journal of the China Society for Scientific and Technical Information

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2004】；CSSCI:【CSSCI2004_2005】；

基金：华东理工大学校科研和教改项目

语种：中文

中文关键词：本体;知识检索;语义分析;熵;量化

外文关键词：ontology, knowledge retrieval, semantic analysis, entropy, quantify.

摘要：本文在语义网络本体模型基础上,利用语义分析和统计方法建立了支持语义检索的检索环境,并基于此环境提出了一种新的知识检索模型,该模型引入信息熵原理,在检索环境的支持下量化语义处理,有效地控制语义扩展过程,从而实现了兼顾查全查准且可控的知识检索过程.
Based on Ontology Model for the Semantic Web, this article builds a searching environment to support semantic search. In this essay we also propose introducing the method of semantic analysis and statistics into Information Retrieval, and put forward a new model of Knowledge Retrieval. In this model,we use the principle of Information Entropy to quantify the process of semantic analysis with the support of searching environment, and to control the process of semantic extension efficiently, therefore realize a controllable Knowledge Retrieval with high degree of recall and accuracy.