PUMA publications for /tag/nepomuk%202006%20folkrank%20hothohttps://puma.uni-kassel.de/tag/nepomuk%202006%20folkrank%20hothoPUMA RSS feed for /tag/nepomuk%202006%20folkrank%20hotho2024-03-29T14:23:03+01:00Trend Detection in Folksonomieshttps://puma.uni-kassel.de/bibtex/242cda5911e901eadd0ac6a106a6aa1dc/itegiteg2011-11-22T10:26:32+01:002006 UniK detection folkrank folksonomy hotho intranet itegpub jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. First International Conference on Semantics And Digital Media Technology (SAMT)</span>, </em></span><em>volume 4306 of LNCS, </em><em>page <span itemprop="pagination">56-70</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>December 2006<meta content="December 2006" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011HeidelbergProc. First International Conference on Semantics And Digital Media Technology (SAMT) December56-70LNCSTrend Detection in Folksonomies430620062006 UniK detection folkrank folksonomy hotho intranet itegpub jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic As the number of resources on the web exceeds by far the number ofdocuments one can track, it becomes increasingly difficult to remainup to date on ones own areas of interest. The problem becomes moresevere with the increasing fraction of multimedia data, from whichit is difficult to extract some conceptual description of theircontents.One way to overcome this problem are social bookmark tools, whichare rapidly emerging on the web. In such systems, users are settingup lightweight conceptual structures called folksonomies, andovercome thus the knowledge acquisition bottleneck. As more and morepeople participate in the effort, the use of a common vocabularybecomes more and more stable. We present an approach for discoveringtopic-specific trends within folksonomies. It is based on adifferential adaptation of the PageRank algorithm to the triadichypergraph structure of a folksonomy. The approach allows for anykind of data, as it does not rely on the internal structure of thedocuments. In particular, this allows to consider different datatypes in the same analysis step. We run experiments on a large-scalereal-world snapshot of a social bookmarking system.Trend Detection in Folksonomieshttps://puma.uni-kassel.de/bibtex/242cda5911e901eadd0ac6a106a6aa1dc/benzbenz2011-02-04T16:10:09+01:00intranet 2006 trend pagerank hotho schmitz jaeschke l3s itegpub detection triadic stumme nepomuk folksonomy tagorapub folkrank UniK <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. First International Conference on Semantics And Digital Media Technology (SAMT)</span>, </em></span><em>volume 4306 of LNCS, </em><em>page <span itemprop="pagination">56-70</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>December 2006<meta content="December 2006" itemprop="datePublished"/></span></em>)Fri Feb 04 16:10:09 CET 2011HeidelbergProc. First International Conference on Semantics And Digital Media Technology (SAMT) December56-70LNCSTrend Detection in Folksonomies43062006intranet 2006 trend pagerank hotho schmitz jaeschke l3s itegpub detection triadic stumme nepomuk folksonomy tagorapub folkrank UniK As the number of resources on the web exceeds by far the number ofdocuments one can track, it becomes increasingly difficult to remainup to date on ones own areas of interest. The problem becomes moresevere with the increasing fraction of multimedia data, from whichit is difficult to extract some conceptual description of theircontents.One way to overcome this problem are social bookmark tools, whichare rapidly emerging on the web. In such systems, users are settingup lightweight conceptual structures called folksonomies, andovercome thus the knowledge acquisition bottleneck. As more and morepeople participate in the effort, the use of a common vocabularybecomes more and more stable. We present an approach for discoveringtopic-specific trends within folksonomies. It is based on adifferential adaptation of the PageRank algorithm to the triadichypergraph structure of a folksonomy. The approach allows for anykind of data, as it does not rely on the internal structure of thedocuments. In particular, this allows to consider different datatypes in the same analysis step. We run experiments on a large-scalereal-world snapshot of a social bookmarking system.Das Entstehen von Semantik in BibSonomyhttps://puma.uni-kassel.de/bibtex/2a333df6fdc7ff9322e3ce03988a7965e/benzbenz2011-02-04T16:09:42+01:00tags semantik 2006 pagerank tagging association hotho bibsonomy schmitz jaeschke rules semantics stumme BibSonomy nepomuk folksonomy tagorapub folksonomies tagora folkrank UniK ol_web2.0 emergentsemantics_evidence <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Social Software in der Wertschöpfung</span>, </em></span><em>Baden-Baden, </em><em><span itemprop="publisher">Nomos</span>, </em>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Fri Feb 04 16:09:42 CET 2011Baden-BadenSocial Software in der WertschöpfungDas Entstehen von Semantik in BibSonomy2006tags semantik 2006 pagerank tagging association hotho bibsonomy schmitz jaeschke rules semantics stumme BibSonomy nepomuk folksonomy tagorapub folksonomies tagora folkrank UniK ol_web2.0 emergentsemantics_evidence 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.Das Entstehen von Semantik in BibSonomyhttps://puma.uni-kassel.de/bibtex/2a333df6fdc7ff9322e3ce03988a7965e/stummestumme2008-06-10T22:32:17+02:002006 BibSonomy UniK association bibsonomy folkrank folksonomies folksonomy hotho jaeschke nepomuk pagerank rules schmitz semantics semantik stumme tagging tagora tagorapub tags <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Social Software in der Wertschöpfung</span>, </em></span><em>Baden-Baden, </em><em><span itemprop="publisher">Nomos</span>, </em>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Tue Jun 10 22:32:17 CEST 2008Baden-BadenSocial Software in der WertschöpfungDas Entstehen von Semantik in BibSonomy20062006 BibSonomy UniK association bibsonomy folkrank folksonomies folksonomy hotho jaeschke nepomuk pagerank rules schmitz semantics semantik stumme tagging tagora tagorapub tags 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.Trend Detection in Folksonomieshttps://puma.uni-kassel.de/bibtex/242cda5911e901eadd0ac6a106a6aa1dc/stummestumme2007-01-29T19:11:03+01:002006 UniK detection folkrank folksonomy hotho intranet itegpub jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Jäschke" itemprop="url" href="/author/Robert%20J%c3%a4schke"><span itemprop="name">R. Jäschke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Schmitz" itemprop="url" href="/author/Christoph%20Schmitz"><span itemprop="name">C. Schmitz</span></a></span>, and <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. First International Conference on Semantics And Digital Media Technology (SAMT)</span>, </em></span><em>volume 4306 of LNCS, </em><em>page <span itemprop="pagination">56-70</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>December 2006<meta content="December 2006" itemprop="datePublished"/></span></em>)Mon Jan 29 19:11:03 CET 2007HeidelbergProc. First International Conference on Semantics And Digital Media Technology (SAMT) dec56-70LNCSTrend Detection in Folksonomies430620062006 UniK detection folkrank folksonomy hotho intranet itegpub jaeschke l3s myown nepomuk pagerank schmitz stumme tagorapub trend triadic 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.