@inproceedings{miningrules,
	title = {Mining Association Rules in Folksonomies},
	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},
	month = {July},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/deynard},
	keywords = {2006 ezweb folksonomy ontology }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	address = {Ljubljana},
	author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme},
	booktitle = {Data Science and Classification (Proc. IFCS 2006 Conference)},
	editor = {V. Batagelj and H.-H. Bock and A. Ferligoj and A. Žiberna},
	month = {July},
	pages = {261-270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006asso_ifcs.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2c8dbb6371be8d67e3aa1928bd3dd0fed/sosbuch},
	doi = {10.1007/3-540-34416-0_28}, isbn = {978-3-540-34415-5}, vgwort = {18},
	keywords = {2006 analysis association folksonomy kdubiq myown network rules semantic seminar2006 sosbuch summerschool }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	address = {Ljubljana},
	author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme},
	booktitle = {Data Science and Classification (Proc. IFCS 2006 Conference)},
	editor = {V. Batagelj and H.-H. Bock and A. Ferligoj and A. Žiberna},
	month = {July},
	pages = {261-270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/schmitz2006asso_ifcs.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2c8dbb6371be8d67e3aa1928bd3dd0fed/hotho},
	doi = {10.1007/3-540-34416-0_28}, isbn = {978-3-540-34415-5}, vgwort = {18},
	keywords = {2006 analysis association folksonomy kdubiq myown network rules semantic seminar2006 sosbuch summerschool }
}

@inproceedings{Schmitz_et_al_2006,
	title = {Mining Association Rules in Folksonomies},
	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},
	month = {July},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/berrueta},
	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.},
	keywords = {2006 ezweb folksonomy ontology }
}

@inproceedings{Schmitz_et_al_2006,
	title = {Mining Association Rules in Folksonomies},
	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},
	month = {July},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/bluedolphin},
	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.},
	keywords = {analysis bibsonomy emergent_semantics folksonomies folksonomy mining rules }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	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},
	month = {July},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/rabeeh},
	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.},
	keywords = {folksonomy tagging }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	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},
	month = {July},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/nepomuk},
	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.},
	keywords = {2006 analysis folksonomies folksonomy from:pchirita l3s myown nepomuk network semantic wp5 }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	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},
	month = {July},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/pchirita},
	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.},
	keywords = {2006 analysis folksonomies folksonomy l3s myown nepomuk network semantic wp5 }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	address = {Berlin, Heidelberg},
	annote = {Proc. of the 10th IFCS Conf.},
	author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme},
	booktitle = {Data Science and Classification},
	editor = {V. Batagelj and H.-H. Bock and A. Ferligoj and A. Žiberna},
	pages = {261--270},
	publisher = {Springer},
	series = {Studies in Classification, Data Analysis, and Knowledge Organization},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/27f502f47bd0e584190337e3e2d4eba9e/jaeschke},
	isbn = {978-3-540-34415-5},
	keywords = {2006 association folksonomy iccs_example l3s mining myown rule trias_example }
}

@inproceedings{schmitz2006mining,
	title = {Mining Association Rules in Folksonomies},
	address = {Ljubljana},
	author = {Christoph Schmitz and Andreas Hotho and Robert Jäschke and Gerd Stumme},
	booktitle = {Proc.  IFCS 2006 Conference},
	month = {July},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2f3254d8f1ded630a4225ab824804e837/schmitz},
	vgwort = {18},
	keywords = {2006 analysis folksonomy myown network semantic }
}