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Reducing Ambiguity in Tagging Systems with Folksonomy Search Expansion

  • Jeff Z. Pan
  • Stuart Taylor
  • Edward Thomas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5554)

Abstract

Search facilities are vital for folksonomy (or social tagging mechanism) based systems. Although these systems allow great malleability and adaptability, they also surfer from problems, such as ambiguity in the meaning of tags, flat organisation of tags and some degree of unstabilising factor on consensus about which tags best describe some certain Web resources. It has been argued that folksonomy structure can be enhanced by ontologies; however, as suggested by Hotho et al., a key question remains open: how to exploit the benefits of ontologies without bothering untrained users with its rigidity. In this paper, we propose an approach to address the problem of ambiguity in tagging systems by expanding folksonomy search with ontologies, which are completely transparent to users. Preliminary implementations and evaluations on the efficiency and the usefulness of such expansions are very promising.

Keywords

Domain Ontology Music Artist Band Member Fuzzy Query Target Ontology 
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-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jeff Z. Pan
    • 1
  • Stuart Taylor
    • 1
  • Edward Thomas
    • 1
  1. 1.Dept. of Computing ScienceUniv. of AberdeenAberdeenUK

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