@inproceedings{schmitz2006mining,
  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.},
  address = {Heidelberg},
  author = {Schmitz, Christoph and Hotho, Andreas and J�schke, Robert and Stumme, Gerd},
  booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
  editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and �iberna, A.},
  file = {schmitz2006mining.pdf:schmitz2006mining.pdf:PDF},
  interhash = {9f407e0b779aba5b3afca7fb906f579b},
  intrahash = {91a9a847b72a77e8f7d7db4de52716e5},
  lastdatemodified = {2006-12-07},
  lastname = {Schmitz},
  month = {July},
  own = {notown},
  pages = {261--270},
  pdf = {schmitz06-mining.pdf},
  publisher = {Springer},
  read = {notread},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  title = {Mining Association Rules in Folksonomies},
  year = 2006
}

@article{1346701,
  abstract = {Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.},
  address = {Amsterdam, The Netherlands, The Netherlands},
  author = {J\"{a}schke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
  doi = {http://dx.doi.org/10.1016/j.websem.2007.11.004},
  interhash = {3bba5bb0554ee215ca77b513670918b5},
  intrahash = {4e27c7e9fff8c5663c4263de19001a94},
  issn = {1570-8268},
  journal = {Web Semant.},
  number = 1,
  pages = {38--53},
  publisher = {Elsevier Science Publishers B. V.},
  title = {Discovering shared conceptualizations in folksonomies},
  url = {http://portal.acm.org/citation.cfm?id=1346701},
  volume = 6,
  year = 2008
}

@inproceedings{jaeschke2007analysis,
  abstract = {BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.},
  address = {Berlin, Heidelberg},
  at = {2007-08-23 20:10:55},
  author = {J\"{a}schke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)},
  citeulike-article-id = {1586648},
  editor = {Priss, U. and Polovina, S. and Hill, R.},
  id = {1586648},
  interhash = {c5d14199c65245bcec9ece9d62373312},
  intrahash = {a0cd4cfefeb320b5b0e837069cb94265},
  month = {July},
  pages = {283--295},
  posted-at = {2007-08-23 20:10:55},
  priority = {4},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Analysis of the Publication Sharing Behaviour in {BibSonomy}},
  volume = 4604,
  year = 2007
}