Information Retrieval in Folksonomies: Search and Ranking
A. Hotho, R. Jäschke, C. Schmitz, und G. Stumme. The Semantic Web: Research and Applications, Volume 4011 von LNAI, Seite 411-426. Heidelberg, Springer, (Juni 2006)
Zusammenfassung
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.
%0 Conference Paper
%1 hotho2006information
%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 folkrank folksonomies information ranking retrieval search
%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 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.
@inproceedings{hotho2006information,
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 \emph{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.},
added-at = {2009-01-12T15:07:39.000+0100},
address = {Heidelberg},
author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/acka47},
booktitle = {The Semantic Web: Research and Applications},
editor = {Sure, York and Domingue, John},
interhash = {10ec64d80b0ac085328a953bb494fb89},
intrahash = {3c301945817681d637ee43901c016939},
keywords = {folkrank folksonomies information ranking retrieval search},
month = {June},
pages = {411-426},
publisher = {Springer},
series = {LNAI},
timestamp = {2009-01-19T09:24:21.000+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
}