PUMA publications for /author/Robert%20J/searchhttps://puma.uni-kassel.de/author/Robert%20J/searchPUMA RSS feed for /author/Robert%20J/search2024-03-29T03:16:28+01:00Information Retrieval in Folksonomies: Search and Rankinghttps://puma.uni-kassel.de/bibtex/2b1e4dabc5b558aeea1b839a7f123eef1/benzbenz2011-02-04T16:10:21+01:00closely_related ranking diploma_thesis search folkrank bibsonomy <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 J�schke" itemprop="url" href="/author/Robert%20J%ef%bf%bdschke"><span itemprop="name">R. J�schke</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">The Semantic Web: Research and Applications</span>, </em></span><em>Volume 4011 von LNAI, </em><em>Seite <span itemprop="pagination">411-426</span>. </em><em>Heidelberg, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>Juni 2006<meta content="Juni 2006" itemprop="datePublished"/></span></em>)Fri Feb 04 16:10:21 CET 2011HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006closely_related ranking diploma_thesis search folkrank 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. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.