M. Grahl, A. Hotho, and G. Stumme. 7th International Conference on Knowledge Management (I-KNOW '07), page 356-364. Graz, Austria, Know-Center, (September 2007)
Abstract
Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the
system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
%0 Conference Paper
%1 grahl2007conceptual
%A Grahl, Miranda
%A Hotho, Andreas
%A Stumme, Gerd
%B 7th International Conference on Knowledge Management (I-KNOW '07)
%C Graz, Austria
%D 2007
%I Know-Center
%K folksonomy sac2011
%P 356-364
%T Conceptual Clustering of Social Bookmarking Sites
%U /brokenurl#www.tagora-project.eu/wp-content/2007/06/grahl_iknow07.pdf
%X Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the
system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
@inproceedings{grahl2007conceptual,
abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the
system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.},
added-at = {2010-08-31T17:34:16.000+0200},
address = {Graz, Austria},
author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/2334d3ab11400c4a3ea3ed5b1e95c1855/deynard},
booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
interhash = {5cf58d2fdd3c17f0b0c54ce098ff5b60},
intrahash = {334d3ab11400c4a3ea3ed5b1e95c1855},
issn = {0948-695x},
keywords = {folksonomy sac2011},
month = sep,
pages = {356-364},
publisher = {Know-Center},
timestamp = {2010-08-31T17:34:16.000+0200},
title = {Conceptual Clustering of Social Bookmarking Sites},
url = {/brokenurl#www.tagora-project.eu/wp-content/2007/06/grahl_iknow07.pdf},
vgwort = {14},
year = 2007
}