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Search and Graphical Visualization of Concepts in Document Collections Using Taxonomies

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.