PUMA publications for /user/iteg/trendhttps://puma.uni-kassel.de/user/iteg/trendPUMA RSS feed for /user/iteg/trend2024-03-28T17:46:15+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>, und <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 von LNCS, </em><em>Seite <span itemprop="pagination">56-70</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>Dezember 2006<meta content="Dezember 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.