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Search and Graphical Visualization of Concepts in Document Collections Using Taxonomies

机译:使用分类法对文档集中的概念进行搜索和图形可视化

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The main idea of this paper is the search for semantic concepts in documents using taxonomies. The concepts to discover are represented by general taxonomy trees which can be combined to express more sophisticated concepts. The proposed algorithm allows the ranking of documents according to the relevance of the queried concepts as well as a graphical representation of the detected concepts inside a document based on a quantified version of the taxonomy trees.
机译:本文的主要思想是使用分类法搜索文档中的语义概念。要发现的概念由常规分类树表示,可以将它们组合起来以表达更复杂的概念。所提出的算法允许根据查询概念的相关性对文档进行排名,并基于分类树的量化版本对文档中检测到的概念进行图形表示。

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