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Mining Association Rules in Folksonomies

by: Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme

In: Data Science and Classification. Proceedings of the 10th IFCS Conf.Heidelberg: Springer , July (2006) , p. 261--270.

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URL:	http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. These systems provide currently relatively few structure. We discuss in this paper, how association rule mining can be adopted to analyze and structure folksonomies, and how the results can be used for ontology learning and supporting emergent semantics. We demonstrate our approach on a large scale dataset stemming from an online system.

BibTeX record

@inproceedings{schmitz2006mining,
  address = {Heidelberg},
  author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme},
  booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
  editor = {V. Batagelj and H.-H. Bock and A. Ferligoj and A. Žiberna},
  interHash = {20650d852ca3b82523fcd8b63e7c12d7},
  intraHash = {11b2a59a568d246d7f36cb68169a464a},
  pages = {261--270},
  publisher = {Springer},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Mining Association Rules in Folksonomies},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
  year = {2006},
  month = {July},
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.}
}

BibSonomy :: BibTeX ::

Mining Association Rules in Folksonomies

Resources (URL, PDF, PS...)

Abstract

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