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Integrating Web 2.0 Data into Linked Open Data Cloud via Clustering

By Eirini Giannakidou and Athena Vakali


Abstract. In this position paper, we 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: i) to be applied on any social tagging platform, and ii) 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

Topics: linked data, web 2.0, tagging, clustering
Year: 2014
OAI identifier: oai:CiteSeerX.psu:
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