Information Retrieval in Folksonomies: Search and Ranking Export

@incollection{citeulike:1223893, abstract = {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.}, author = {Hotho, Andreas and J\"{a}schke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {The Semantic Web: Research and Applications }, chapter = {31}, citeulike-article-id = {1223893}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11762256_31}, citeulike-linkout-1 = {http://www.springerlink.com/content/r8313654k80v7231}, citeulike-linkout-2 = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006information.pdf}, doi = {10.1007/11762256_31}, journal = {: The Semantic Web: Research and Applications}, keywords = {folksonomies, informationretrieval, tagging}, pages = {411--426}, posted-at = {2009-06-24 19:07:59}, priority = {0}, series = {Lecture Notes in Computer Science}, title = {Information Retrieval in Folksonomies: Search and Ranking}, url = {http://dx.doi.org/10.1007/11762256_31}, year = {2006} }

TY - CHAP ID - citeulike:1223893 L3 - citeulike-article-id:1223893 N2 - 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. JF - : The Semantic Web: Research and Applications SE - Lecture Notes in Computer Science EP - 426 TI - Information Retrieval in Folksonomies: Search and Ranking T2 - The Semantic Web: Research and Applications SP - 411 KW - folksonomies KW - informationretrieval KW - tagging AU - Hotho, Andreas AU - Jäschke, Robert AU - Schmitz, Christoph AU - Stumme, Gerd PY - 2006/// UR - http://dx.doi.org/10.1007/11762256_31 ER -