TY  - CONF
AU  - Grahl, Miranda
AU  - Hotho, Andreas
AU  - Stumme, Gerd
A2  - Hinneburg, Alexander
T1  - Conceptual Clustering of Social Bookmark Sites
T2  - Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)
PB  - Martin-Luther-Universität Halle-Wittenberg
CY  - 
PY  - 2007/10
M2  - 
VL  - 
IS  - 
SP  - 50
EP  - 54
UR  - http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf
M3  - 
KW  - 2007
KW  - Social
KW  - bookmark
KW  - bookmarking
KW  - clustering
KW  - collaborative
KW  - conceptual
KW  - folksonomies
KW  - folksonomy
KW  - itegpub
KW  - myown
KW  - social
KW  - tagging
KW  - tagorapub
L1  - 
SN  - 978-3-86010-907-6
N1  - 
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Grahl, Miranda
AU  - Hotho, Andreas
AU  - Stumme, Gerd
A2  - Hinneburg, Alexander
T1  - Conceptual Clustering of Social Bookmark Sites
T2  - Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)
PB  - Martin-Luther-Universität Halle-Wittenberg
CY  - 
PY  - 2007/10
M2  - 
VL  - 
IS  - 
SP  - 50
EP  - 54
UR  - http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf
M3  - 
KW  - 2007
KW  - Social
KW  - bookmark
KW  - bookmarking
KW  - clustering
KW  - collaborative
KW  - conceptual
KW  - folksonomies
KW  - folksonomy
KW  - itegpub
KW  - myown
KW  - social
KW  - tagging
KW  - tagorapub
L1  - 
SN  - 978-3-86010-907-6
N1  - Publications of Gerd Stumme
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Grahl, Miranda
AU  - Hotho, Andreas
AU  - Stumme, Gerd
A2  - 
T1  - Conceptual Clustering of Social Bookmarking Sites
T2  - 7th International Conference on Knowledge Management (I-KNOW '07)
PB  - Know-Center
CY  - Graz, Austria
PY  - 2007/10
M2  - 
VL  - 
IS  - 
SP  - 356
EP  - 364
UR  - 
M3  - 
KW  - 2007
KW  - bookmarking
KW  - clustering
KW  - conceptual
KW  - folksonomy
KW  - kdubiq
KW  - myown
KW  - social
KW  - sosbuch
KW  - summerschool
KW  - tagging
KW  - taggingsurvey
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 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.
ER  -