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.
Description
Short version of http://www.bibsonomy.org/bibtex/07f061a8c294bae64831fbe92dc9ece48/stumme
%0 Conference Paper
%1 hotho2006folkrank
%A Hotho, Andreas
%A Jäschke, Robert
%A Schmitz, Christoph
%A Stumme, Gerd
%B Proc. FGIR 2006
%D 2006
%K algorithm folkrank informationretrieval nepomuk pagerank ranking
%P to appear
%T FolkRank: A Ranking Algorithm for Folksonomies
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006folkrank.pdf
%X 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.
@inproceedings{hotho2006folkrank,
abstract = { 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.},
added-at = {2006-11-17T08:46:17.000+0100},
author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/24d8b4f79814691fbe6db8357d63206a1/grahl},
booktitle = {Proc. FGIR 2006},
description = {Short version of http://www.bibsonomy.org/bibtex/07f061a8c294bae64831fbe92dc9ece48/stumme},
interhash = {3468dc3fed17eadf2e7c6ff06fbb34a3},
intrahash = {4d8b4f79814691fbe6db8357d63206a1},
keywords = {algorithm folkrank informationretrieval nepomuk pagerank ranking},
pages = {to appear},
timestamp = {2007-07-25T11:24:39.000+0200},
title = {FolkRank: A Ranking Algorithm for Folksonomies},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006folkrank.pdf},
year = 2006
}