BibSonomyburst/bibtex/120650d852ca3b82523fcd8b63e7c12d7BibSonomy RSS feed for /bibtex/120650d852ca3b82523fcd8b63e7c12d72012-02-17T09:36:47+01:00http://www.bibsonomy.org/bibtex/2aacdba5a3ee5637d84459d7cf4a1eb05/beatebeate2011-12-13T08:38:34+01:00association-rules semantics subsumption tagging <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Tue Dec 13 08:38:34 CET 2011HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006association-rules semantics subsumption tagging 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.http://www.bibsonomy.org/bibtex/2ed504c16bc4eb561a9446bd98b10dca1/bossatbossat2011-11-07T15:16:02+01:00analysis methodsconcepts network social tagging <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Mon Nov 07 15:16:02 CET 2011HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006analysis methodsconcepts network social tagging 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.http://www.bibsonomy.org/bibtex/2ed504c16bc4eb561a9446bd98b10dca1/dbenzdbenz2011-02-17T17:43:03+01:00analysis closely_related diploma_thesis folksonomy methods_concepthierarchy methods_concepts nepomuk network ol_web2.0 semantic taggingsurvey <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Thu Feb 17 17:43:03 CET 2011HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006analysis closely_related diploma_thesis folksonomy methods_concepthierarchy methods_concepts nepomuk network ol_web2.0 semantic taggingsurvey 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.http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/bluedolphinbluedolphin2011-01-10T18:55:12+01:00analysis bibsonomy emergent_semantics folksonomy my_thesis ontology <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification: Proc. of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Mon Jan 10 18:55:12 CET 2011Berlin, HeidelbergData Science and Classification: Proc. of the 10th IFCS Conf.261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006analysis bibsonomy emergent_semantics folksonomy my_thesis ontology http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/lbalbylbalby2011-01-03T20:51:16+01:00association folksonomy rule <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification: Proc. of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Mon Jan 03 20:51:16 CET 2011Berlin, HeidelbergData Science and Classification: Proc. of the 10th IFCS Conf.261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006association folksonomy rule http://www.bibsonomy.org/bibtex/2c8dbb6371be8d67e3aa1928bd3dd0fed/deynarddeynard2010-10-31T09:05:45+01:00folksonomy <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification Proc. IFCS 2006 Conference, </em><em>page 261-270. </em><em>Berlin/Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)<em>Ljubljana . </em>Sun Oct 31 09:05:45 CET 2010Berlin/HeidelbergData Science and Classification (Proc. IFCS 2006 Conference)JulyLjubljana261-270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006folksonomy http://www.bibsonomy.org/bibtex/2c2a6c75c661a1c81a13ac6966c93fe38/cbrewstercbrewster2009-08-17T00:46:40+02:00<span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification, </em><em>Springer, </em>(<em>2006</em>)Mon Aug 17 00:46:40 CEST 2009Data Science and Classification261- 270Mining Association Rules in Folksonomies2006http://www.bibsonomy.org/bibtex/2c8dbb6371be8d67e3aa1928bd3dd0fed/hothohotho2009-05-15T17:22:38+02:002006 analysis association folksonomy kdubiq myown network rules semantic seminar2006 sosbuch summerschool <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification Proc. IFCS 2006 Conference, </em><em>page 261-270. </em><em>Berlin/Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)<em>Ljubljana . </em>Fri May 15 17:22:38 CEST 2009Berlin/HeidelbergData Science and Classification (Proc. IFCS 2006 Conference)JulyLjubljana261-270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 analysis association folksonomy kdubiq myown network rules semantic seminar2006 sosbuch summerschool http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/folkefolke2009-03-18T17:23:04+01:00association folksonomy learning ontology rule <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification: Proc. of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Wed Mar 18 17:23:04 CET 2009Berlin, HeidelbergData Science and Classification: Proc. of the 10th IFCS Conf.261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006association folksonomy learning ontology rule http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/stummestumme2009-03-02T21:38:46+01:002006 FCA OntologyHandbook association folksonomy itegpub myown rule <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification: Proc. of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Mon Mar 02 21:38:46 CET 2009Berlin, HeidelbergData Science and Classification: Proc. of the 10th IFCS Conf.261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 FCA OntologyHandbook association folksonomy itegpub myown rule http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/ansans2008-12-03T17:09:03+01:00bachelor folksonomy master mining projection rules ws08 <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Wed Dec 03 17:09:03 CET 2008HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006bachelor folksonomy master mining projection rules ws08 http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/steff83steff832008-09-16T13:15:05+02:00association folksonomies master_thesis ontology rules <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Tue Sep 16 13:15:05 CEST 2008HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006association folksonomies master_thesis ontology rules http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/deynarddeynard2008-09-01T03:55:54+02:002006 ezweb folksonomy ontology <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Mon Sep 01 03:55:54 CEST 2008HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 ezweb folksonomy ontology http://www.bibsonomy.org/bibtex/2c8dbb6371be8d67e3aa1928bd3dd0fed/sosbuchsosbuch2008-02-12T17:53:57+01:002006 analysis association folksonomy kdubiq myown network rules semantic seminar2006 sosbuch summerschool <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification Proc. IFCS 2006 Conference, </em><em>page 261-270. </em><em>Ljubljana, </em><em>Springer, </em>(<em>July 2006</em>)Tue Feb 12 17:53:57 CET 2008LjubljanaData Science and Classification (Proc. IFCS 2006 Conference)July261-270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 analysis association folksonomy kdubiq myown network rules semantic seminar2006 sosbuch summerschool http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/berruetaberrueta2007-11-10T17:31:55+01:002006 ezweb folksonomy ontology <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Sat Nov 10 17:31:55 CET 2007HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 ezweb folksonomy ontology 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.http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/rabeehrabeeh2007-04-16T11:26:45+02:00folksonomy tagging <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Mon Apr 16 11:26:45 CEST 2007HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies2006folksonomy tagging 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.http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/nepomuknepomuk2007-03-22T18:29:28+01:002006 analysis folksonomies folksonomy from:pchirita l3s myown nepomuk network semantic wp5 <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Thu Mar 22 18:29:28 CET 2007HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 analysis folksonomies folksonomy from:pchirita l3s myown nepomuk network semantic wp5 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.http://www.bibsonomy.org/bibtex/211b2a59a568d246d7f36cb68169a464a/pchiritapchirita2007-03-22T15:42:13+01:002006 analysis folksonomies folksonomy l3s myown nepomuk network semantic wp5 <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification. Proceedings of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Heidelberg, </em><em>Springer, </em>(<em>July 2006</em>)Thu Mar 22 15:42:13 CET 2007HeidelbergData Science and Classification. Proceedings of the 10th IFCS Conf.July261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 analysis folksonomies folksonomy l3s myown nepomuk network semantic wp5 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.http://www.bibsonomy.org/bibtex/27f502f47bd0e584190337e3e2d4eba9e/jaeschkejaeschke2007-02-01T14:04:37+01:002006 association folksonomy iccs_example l3s mining myown ol_tut2010 rule trias_example <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification, </em><em>page 261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Thu Feb 01 14:04:37 CET 2007Berlin, HeidelbergData Science and Classification261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 association folksonomy iccs_example l3s mining myown ol_tut2010 rule trias_example http://www.bibsonomy.org/bibtex/2f3254d8f1ded630a4225ab824804e837/schmitzschmitz2007-01-26T16:36:38+01:002006 folksonomy myown semantic analysis network <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proc. IFCS 2006 Conference, </em><em>Ljubljana, </em>(<em>July 2006</em>)Fri Jan 26 16:36:38 CET 2007LjubljanaProc. IFCS 2006 ConferenceJulyMining Association Rules in Folksonomies20062006 folksonomy myown semantic analysis network