@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.}, added-at = {2011-12-13T08:38:34.000+0100}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/2aacdba5a3ee5637d84459d7cf4a1eb05/beate}, booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and {\v Z}iberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {aacdba5a3ee5637d84459d7cf4a1eb05}, keywords = {association-rules semantics subsumption tagging}, month = {July}, pages = {261--270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, timestamp = {2011-12-13T08:38:34.000+0100}, title = {Mining Association Rules in Folksonomies}, year = 2006 } @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.}, added-at = {2011-11-07T15:16:02.000+0100}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/2ed504c16bc4eb561a9446bd98b10dca1/bossat}, 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}, groups = {public}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {ed504c16bc4eb561a9446bd98b10dca1}, keywords = {analysis methodsconcepts network social tagging}, 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}, timestamp = {2011-11-07T15:16:02.000+0100}, title = {Mining Association Rules in Folksonomies}, username = {dbenz}, year = 2006 } @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.}, added-at = {2011-02-17T17:43:03.000+0100}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/2ed504c16bc4eb561a9446bd98b10dca1/dbenz}, 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}, groups = {public}, interhash = {9f407e0b779aba5b3afca7fb906f579b}, intrahash = {ed504c16bc4eb561a9446bd98b10dca1}, keywords = {analysis closely_related diploma_thesis folksonomy methods_concepthierarchy methods_concepts nepomuk network ol_web2.0 semantic taggingsurvey}, 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}, timestamp = {2011-02-17T17:43:03.000+0100}, title = {Mining Association Rules in Folksonomies}, username = {dbenz}, year = 2006 } @inproceedings{Schmitz_et_al_2006, added-at = {2011-01-10T18:55:12.000+0100}, address = {Berlin, Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/bluedolphin}, booktitle = {Data Science and Classification: Proc. of the 10th IFCS Conf.}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and {\v Z}iberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {1e79a0f1c79561073d14434adce1e890}, keywords = {analysis bibsonomy emergent_semantics folksonomy my_thesis ontology}, pages = {261--270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, timestamp = {2011-01-10T18:55:12.000+0100}, title = {Mining Association Rules in Folksonomies}, year = 2006 } @inproceedings{schmitz2006mining, added-at = {2011-01-03T20:51:16.000+0100}, address = {Berlin, Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/lbalby}, booktitle = {Data Science and Classification: Proc. of the 10th IFCS Conf.}, editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and {\v Z}iberna, A.}, interhash = {20650d852ca3b82523fcd8b63e7c12d7}, intrahash = {1e79a0f1c79561073d14434adce1e890}, keywords = {association folksonomy rule}, pages = {261--270}, publisher = {Springer}, series = {Studies in Classification, Data Analysis, and Knowledge Organization}, timestamp = {2011-01-03T20:51:16.000+0100}, title = {Mining Association Rules in Folksonomies}, year = 2006 } @inproceedings{Schmitz2006MiningAssociationRules, added-at = {2010-10-31T09:05:45.000+0100}, address = {Berlin/Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/2c8dbb6371be8d67e3aa1928bd3dd0fed/deynard}, booktitle = {Data Science and Classification (Proc. 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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.}, added-at = {2007-11-10T17:31:55.000+0100}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/berrueta}, booktitle = {Data Science and Classification. 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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.}, added-at = {2007-04-16T11:26:45.000+0200}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/rabeeh}, booktitle = {Data Science and Classification. 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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.}, added-at = {2007-03-22T18:29:28.000+0100}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/nepomuk}, booktitle = {Data Science and Classification. 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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.}, added-at = {2007-03-22T15:42:13.000+0100}, address = {Heidelberg}, author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/pchirita}, booktitle = {Data Science and Classification. 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