基于概念语义空间的联想检索

Association Retrieve Based On Concept Semantic Space

  • 摘要: 为了快速准确地满足用户提出的检索需要,在大量的文本文件中检索出用户真正所需的信息,首先在文本的概念空间上建立了概念语义空间并以此为基础建立了一个具有联想功能的索引系统,其次运用大型语义词典为用户提供了一个智能型检索接口.该接口能主动分析使用者输入的关键词,并确定使用者的实际检索需求这种检索系统能够大大提高用户的检索效率和准确度.

     

    Abstract: In order to satisfy the user's retrieve need promptly and accurately, and retrieve the information which the user need from a lot of text files, firstly a concept semantic space based on concept space of documents is established, then based on it establish an index system with the association function; secondly a retrieve interface with intelligent function based on large semantic dictionary was made for the system. The retrieve interface can analysis the keyword that user input, and make sure user's really retrieve needing. According to the results of experimentation, it is clear that the retrieve efficiency and accuracy has been improved using this method.

     

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