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FolkRank: A Ranking Algorithm for Folksonomies

  • In social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, 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. A long version of this paper has been published at the European Semantic Web Conference 2006.

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Metadaten
Author:Andreas Hotho, Robert Jäschke, Christoph Schmitz, Gerd Stumme
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-399
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/04/21
Contributing Corporation:Knowledge & Data Engineering Group, Department of Mathematics and Computer Science University of Kassel
Release Date:2011/04/21
Source:Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Access Rights:Frei zugänglich