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• W2344315250 abstract "In general, we have utilized the hierarchical concept tree as a crucial data structure for indexing huge amount of textual data. This paper proposes a generality rank-based method that can automatically develop hierarchical concept structures with the Wikipedia data. The goal of the method is to regard each of Wikipedia articles as a concept and to generate hierarchical relationships among concepts. In order to estimate the generality of concepts, we have devised a special ranking function that mainly uses the number of hyperlinks among Wikipedia articles. The ranking function is effectively used for computing the probabilistic subsumption among concepts, which allows to generate relatively more stable hierarchical structures. Eventually, a set of concept pairs with hierarchical relationship is visualized as a DAG (directed acyclic graph). Through the empirical analysis using the concept hierarchy of Open Directory Project, we proved that the proposed method outperforms a representative baseline method and it can automatically extract concept hierarchies with high accuracy." @default.
• W2344315250 created "2016-06-24" @default.
• W2344315250 creator A5020642677 @default.
• W2344315250 creator A5089226817 @default.
• W2344315250 date "2015-11-30" @default.
• W2344315250 modified "2023-09-24" @default.
• W2344315250 title "Automated Development of Rank-Based Concept Hierarchical Structures using Wikipedia Links" @default.
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• W2344315250 doi "https://doi.org/10.7838/jsebs.2015.20.4.061" @default.
• W2344315250 hasPublicationYear "2015" @default.
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