主题检索系统的优化技术研究  

Research on Optimizing Technologies for Subject Retrieval System

作　　者：徐震[1] 

机构地区：[1]南京政治学院上海分院军事信息管理系,上海200433

出　　处：《情报理论与实践》2010年第9期93-96,共4页Information Studies:Theory & Application

摘　　要：针对传统主题检索系统的弊端,提出了包括全文主题词标引、概念标引、检索式语义分析、概念扩展、模式匹配、基于汉字相似度的主题词联想等相关技术,使用这些技术可以发挥主题检索和自然语言检索各自的优点,使传统主题检索系统成为智能化、高层次的信息检索系统。In view of the shortcomings of the traditional subject retrieval system,this paper puts forward some correlated technologies such as full-text keyword indexing,concept indexing,semantic analysis for retrieval pattern,concept extension,pattern matching and keyword association based on Chinese character similarity.The application of these technologies can give play to the merits of both subject retrieval and natural language retrieval,and make the traditional subject retrieval system an intelligent and high-level information retrieval system.

关 键 词：主题检索系统 自动标引 语义分析 概念扩展 

分 类 号：G354[文化科学—情报学]