Conceptual Clustering of Social Bookmarking Sites
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7th International Conference on Knowledge Management (I-KNOW '07), Seite 356-364. Graz, Austria, Know-Center, (September 2007)

Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of thesystem, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the bookmarking system.
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