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Information Retrieval in Folksonomies: Search and Ranking

The Semantic Web: Research and Applications, 4011: 411-426, 2006.
Authors: Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme
Editors: York Sure and John Domingue
URL: http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006information.pdf
Tags: 2006 IR folkrank folksonomy information informationretrieval l3s myown nepomuk pagerank ranking retrieval
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.
| URL | BibTeX  
@inproceedings{hotho2006information,
title = {Information Retrieval in Folksonomies: Search and Ranking},
address = {Heidelberg},
author = {Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
booktitle = {The Semantic Web: Research and Applications},
editor = {York Sure and John Domingue},
month = {June},
pages = {411-426},
publisher = {Springer},
series = {LNAI},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006information.pdf},
volume = {4011},
year = {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 \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.},
keywords = {2006 IR folkrank folksonomy information informationretrieval l3s myown nepomuk pagerank ranking retrieval }
}