http://www.bibsonomy.org/burst/user/stumme/unikBibSonomy BuRST Feed for /user/stumme/unik2008-09-05T07:31:19+02:00http://www.bibsonomy.org/bibtex/2a333df6fdc7ff9322e3ce03988a7965e/stummestumme2008-06-10T22:32:17+02:00stumme semantics association BibSonomy bibsonomy folksonomy rules folksonomies tagging hotho tagorapub 2006 jaeschke nepomuk pagerank tags semantik UniK folkrank tagora schmitz <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Social Software in der Wertsch&#246;pfung, </em><em>Baden-Baden, </em><em>Nomos, </em>(<em>2006</em>)Tue Jun 10 22:32:17 CEST 2008Baden-BadenSocial Software in der WertschöpfungDas Entstehen von Semantik in BibSonomy2006stumme semantics association BibSonomy bibsonomy folksonomy rules folksonomies tagging hotho tagorapub 2006 jaeschke nepomuk pagerank tags semantik UniK folkrank tagora schmitz Immer mehr Soziale-Lesezeichen-Systeme entstehen im heutigen Web. In solchen Systemen erstellen die Nutzer leichtgewichtige begriffliche Strukturen, so genannte Folksonomies. Ihren Erfolg verdanken sie der Tatsache, dass man keine speziellen Fähigkeiten benötigt, um an der Gestaltung mitzuwirken. In diesem Artikel beschreiben wir unser System BibSonomy. Es erlaubt das Speichern, Verwalten und Austauschen sowohl von Lesezeichen (Bookmarks) als auch von Literaturreferenzen in Form von BibTeX-Einträgen. Die Entwicklung des verwendeten Vokabulars und der damit einhergehenden Entstehung einer gemeinsamen Semantik wird detailliert diskutiert.http://www.bibsonomy.org/bibtex/2d85b0335a1b90d2c4025d3aff0e30c50/stummestumme2007-05-21T21:52:12+02:00kde unik intranet folksonomies kassel bibsonomy <span style="color:#555555;">Serak <a href="http://www.bibsonomy.org/author/Rezane">Rezane</a> </span>(<em>2006</em>)Mon May 21 21:52:12 CEST 2007KasselFolksonomies in IntranetsBachelor Thesis2006kde unik intranet folksonomies kassel bibsonomy http://www.bibsonomy.org/bibtex/205043cc20f1e0f5a612135c970e4f1ac/stummestumme2007-01-31T19:50:05+01:00hotho emergence tagorapub schmitz emergent myown 2006 jaeschke l3s UniK semantics folksonomy nepomuk stumme bibsonomy <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Informatik 2006 - Informatik f&#252;r Menschen. Band 2, </em><em>VolumeP-94vonLecture Notes in Informatics, </em><em>Bonn, </em><em>Gesellschaft f&#252;r Informatik, </em><em>oct2006. </em><em>Proc. Workshop on Applications of Semantic Technologies, Informatik 2006 . </em>Wed Jan 31 19:50:05 CET 2007BonnInformatik 2006 - Informatik für Menschen. Band 2octProc. Workshop on Applications of Semantic Technologies, Informatik 2006Lecture Notes in InformaticsEmergent Semantics in BibSonomyP-942006hotho emergence tagorapub schmitz emergent myown 2006 jaeschke l3s UniK semantics folksonomy nepomuk stumme bibsonomy Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies, briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references, and discuss first steps towards emergent semantics.http://www.bibsonomy.org/bibtex/242cda5911e901eadd0ac6a106a6aa1dc/stummestumme2007-01-29T19:11:03+01:00detection triadic pagerank trend folkrank stumme folksonomy jaeschke 2006 hotho nepomuk schmitz UniK myown tagorapub l3s <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. First International Conference on Semantics And Digital Media Technology (SAMT), </em><em>Volume4306vonLNCS, </em><em>Seite56-70. </em><em>Heidelberg, </em><em>Springer, </em><em>dec2006. </em>Mon Jan 29 19:11:03 CET 2007HeidelbergProc. First International Conference on Semantics And Digital Media Technology (SAMT) dec56-70LNCSTrend Detection in Folksonomies43062006detection triadic pagerank trend folkrank stumme folksonomy jaeschke 2006 hotho nepomuk schmitz UniK myown tagorapub l3s As the number of resources on the web exceeds by far the number of documents one can track, it becomes increasingly difficult to remain up to date on ones own areas of interest. The problem becomes more severe with the increasing fraction of multimedia data, from which it is difficult to extract some conceptual description of their contents. One way to overcome this problem are social bookmark tools, which are rapidly emerging on the web. In such systems, users are setting up lightweight conceptual structures called folksonomies, and overcome thus the knowledge acquisition bottleneck. As more and more people participate in the effort, the use of a common vocabulary becomes more and more stable. We present an approach for discovering topic-specific trends within folksonomies. It is based on a differential adaptation of the PageRank algorithm to the triadic hypergraph structure of a folksonomy. The approach allows for any kind of data, as it does not rely on the internal structure of the documents. In particular, this allows to consider different data types in the same analysis step. We run experiments on a large-scale real-world snapshot of a social bookmarking system.