Information Retrieval in Folksonomies: Search and Ranking
A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. The Semantic Web: Research and Applications, volume 4011 of LNAI, page 411-426. Heidelberg, Springer, (June 2006)
Abstract
Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. At themoment, however, the information retrieval support is limited. Wepresent a formal model and a new search algorithm for folksonomies,called FolkRank, that exploits the structure of thefolksonomy. The proposed algorithm is also applied to findcommunities within the folksonomy and is used to structure searchresults. All findings are demonstrated on a large scale dataset.
%0 Conference Paper
%1 Hotho:2006
%A Hotho, Andreas
%A Jäschke, Robert
%A Schmitz, Christoph
%A Stumme, Gerd
%B The Semantic Web: Research and Applications
%C Heidelberg
%D 2006
%E Sure, York
%E Domingue, John
%I Springer
%K folksonomy
%P 411-426
%T Information Retrieval in Folksonomies: Search and Ranking
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006information.pdf
%V 4011
%X Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. At themoment, however, the information retrieval support is limited. Wepresent a formal model and a new search algorithm for folksonomies,called FolkRank, that exploits the structure of thefolksonomy. The proposed algorithm is also applied to findcommunities within the folksonomy and is used to structure searchresults. All findings are demonstrated on a large scale dataset.
@inproceedings{Hotho:2006,
abstract = {Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. At themoment, however, the information retrieval support is limited. Wepresent a formal model and a new search algorithm for folksonomies,called \emph{FolkRank}, that exploits the structure of thefolksonomy. The proposed algorithm is also applied to findcommunities within the folksonomy and is used to structure searchresults. All findings are demonstrated on a large scale dataset.},
added-at = {2008-01-24T02:12:25.000+0100},
address = {Heidelberg},
author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/diego_ma},
booktitle = {The Semantic Web: Research and Applications},
editor = {Sure, York and Domingue, John},
interhash = {10ec64d80b0ac085328a953bb494fb89},
intrahash = {3c301945817681d637ee43901c016939},
keywords = {folksonomy},
month = {June},
pages = {411-426},
publisher = {Springer},
series = {LNAI},
timestamp = {2008-01-24T02:12:26.000+0100},
title = {Information Retrieval in Folksonomies: Search and Ranking},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006information.pdf},
volume = 4011,
year = 2006
}