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. ER - TY - CONF AU - Jäschke, Robert AU - Hotho, Andreas AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Braß, Stefan A2 - Hinneburg, Alexander T1 - Wege zur Entdeckung von Communities in Folksonomies T2 - Proc. 18. Workshop Grundlagen von Datenbanken PB - Martin-Luther-Universität C1 - Halle-Wittenberg PY - 2006/06 CY - VL - IS - SP - 80 EP - 84 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006wege.pdf DO - KW - 2006 KW - bibsonomy KW - communities KW - community KW - detection KW - itegpub KW - l3s KW - myown KW - nepomuk KW - tagging L1 - SN - N1 - N1 - AB - Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "`Web 2.0"' -- stellen
Folksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten und
mit Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellen
ein interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur
Entdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies. ER -