BibSonomyburst/user/nepomuk/folksonomiesBibSonomy RSS feed for /user/nepomuk/folksonomies2012-02-16T19:21:21+01:00http://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.