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 Lecture Notes in Computer Science, page 411-426. Heidelberg, Springer, (June 2006)
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 findcommunities 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 2006 folkrank folksonomy graph iccs_example information l3s mining ol_web2.0 pagerank rank ranking retrieval search seminar2006 taggingsurvey testttag trias_example webzu widely_related
%P 411-426
%T Information Retrieval in Folksonomies: Search and Ranking
%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 findcommunities 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 FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to findcommunities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.},
added-at = {2011-02-17T17:42:28.000+0100},
address = {Heidelberg},
author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/dbenz},
booktitle = {The Semantic Web: Research and Applications},
editor = {Sure, York and Domingue, John},
file = {hotho2006information.pdf:hotho2006information.pdf:PDF},
groups = {public},
interhash = {10ec64d80b0ac085328a953bb494fb89},
intrahash = {3c301945817681d637ee43901c016939},
keywords = {2006 folkrank folksonomy graph iccs_example information l3s mining ol_web2.0 pagerank rank ranking retrieval search seminar2006 taggingsurvey testttag trias_example webzu widely_related},
month = {June},
pages = {411-426},
pdf = {hotho2006information.pdf},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Information Retrieval in Folksonomies: Search and Ranking},
username = {dbenz},
volume = 4011,
year = 2006
}