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Fuzzy Information Retrieval Indexed by Concept Identification

机译:模糊信息检索概念识别索引

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To retrieve relevant information, indexing should be achieved using the concepts of the document that a writer intends to highlight. Moreover, the user involvement is increasingly required to extract relevant information from information sources. Therefore, in the present work we propose a fuzzy retrieval model indexed by concept identification: (1) a concept identification based indexing and (2) a novel fuzzy ranking model. The concept based indexing identifies index terms by considering the concepts of a document, and a novel fuzzy ranking model based on the user preference is presented, which is able to calculates the relevance ranking based on the user preference.
机译:要检索相关信息,应使用作者打算突出显示的文档的概念来实现索引。此外,用户参与越来越需要从信息源中提取相关信息。因此,在本工作中,我们提出了一种由概念识别索引的模糊检索模型:(1)基于概念识别的索引和(2)一种新型模糊排名模型。基于概念的索引通过考虑文档的概念来识别索引项,并且呈现了基于用户偏好的新颖模糊排名模型,其能够基于用户偏好来计算相关性排序。

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