摘要
本文首先分析了传统主题检索系统的弊端,然后提出了针对这些弊端的优化技术,包括全文主题词标引、概念标引、检索式语义分析、模式匹配等相关技术,使用这些技术可以发挥主题检索语言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,高层次的检索系统。
This paper firstly analyses the shortcoming of the traditional subject retrieval system. Secondly the paper puts forward some optimizing technologies such as full-text subject indexing, concept indexing, semantic analysis for retrieval pattern and pattern matching. The application of these technologies can take advantages of the merits of both subject retrieval language and natural retrieval language, and make the traditional retrieval system more intelligent and a higher-level retrieval system.
出处
《现代情报》
北大核心
2006年第10期149-150,175,共3页
Journal of Modern Information
关键词
主题检索系统
主题标引
概念标引
语义分析
模式匹配
subject retrieval system
subject indexing
concept indexing
semantic analysis
pattem matching