主题检索系统的优化技术研究

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.