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Integrating Folksonomies with the Semantic Web

  • Lucia Specia
  • Enrico Motta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4519)

Abstract

While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating search and navigation of resources, the use of the same tags by more than one individual can yield a collective classification schema. We present an approach for making explicit the semantics behind the tag space in social tagging systems, so that this collaborative organization can emerge in the form of groups of concepts and partial ontologies. This is achieved by using a combination of shallow pre-processing strategies and statistical techniques together with knowledge provided by ontologies available on the semantic web. Preliminary results on the del.icio.us and Flickr tag sets show that the approach is very promising: it generates clusters with highly related tags corresponding to concepts in ontologies and meaningful relationships among subsets of these tags can be identified.

Keywords

Social Annotation Multiple Ontology Single Ontology Partial Ontology Paradigmatic Association 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Lucia Specia
    • 1
  • Enrico Motta
    • 1
  1. 1.Knowledge Media Institute – The Open University, Walton Hall, MK7 6AA, Milton KeynesUK

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