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基于概念語義空間的聯想檢索

Association Retrieve Based On Concept Semantic Space

  • 摘要: 為了快速準確地滿足用戶提出的檢索需要,在大量的文本文件中檢索出用戶真正所需的信息,首先在文本的概念空間上建立了概念語義空間并以此為基礎建立了一個具有聯想功能的索引系統,其次運用大型語義詞典為用戶提供了一個智能型檢索接口.該接口能主動分析使用者輸入的關鍵詞,并確定使用者的實際檢索需求這種檢索系統能夠大大提高用戶的檢索效率和準確度.

     

    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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