The benefit of additional semantics in folksonomy systems

  • Authors:
  • Fabian Abel

  • Affiliations:
  • Leibniz University Hannover, Hannover, Germany

  • Venue:
  • Proceedings of the 2nd PhD workshop on Information and knowledge management
  • Year:
  • 2008

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Abstract

With the advent of Web 2.0 folksonomy systems like Flickr, del.icio.us, etc. have become very popular. They enable users to annotate resources (images, websites, etc.) with freely chosen keywords, so-called tags. The evolving set of such tag assignments, which are generally user-tag-resource bindings, are called folksonomies. Folksonomies embody valuable information that can be exploited by search and ranking algorithms. In this paper we describe our ongoing research in analyzing the benefit of additional semantics in folksonomy systems. We present the GroupMe! folksonomy system, which brings additional semantics to tagging systems by enabling users to group resources. We furthermore introduce different group-sensitive ranking algorithms that outperform existing folksonomy ranking strategies and define SocialHITS - a HITS-based algorithm to detect hubs and authorities in folksonomy systems. With GroupMe! we also present an approach to close the gap between the Social Web and the Semantic Web. All data of GroupMe! is provided as RDF and made available according to the principles of Linked Data. In this paper we outline an architecture which enables to bridge between folksonomies and ontologies by utilizing the MOAT (Meaning Of A Tag) framework.