Analysis and Representation of Tagging Practices in Online Communities

Haklae Kim, Simon Scerri, John G. Breslin, Stefan Decker, Honggee Kim

In this paper we analyse a social structure of an online community defined through tagging practices, and investigate whether useful knowledge about the evolution of social networks can be mined through tagging practices, and whether a more representative social structure has any influence on the tagging experience itself. The results from tagging behaviors also need to be represented semantically, along data pertaining to the social structure in order to support data reuse and integration. We then propose a solution for tag data representation which allows data reuse across different tagging systems. We also propose and discuss the enhancement of FOAF via other RDF vocabularies to reflect social tagging practices.

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