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In this paper, the authors claim that useful information mined from social tagging systems can be published and shared as Linked Data, in order to be further exploited. The proposed approach aims: to be applied on any social tagging platform, and utilize information that concerns the collective activity of users, not individual transactions. Such information involves topics of interests, emerging trends, events, communities around events/trends. To mine this knowledge from tagging data, a number of clustering algorithms are suggested.
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