TY  - CHAP
AU  - Schmitz, Christoph
AU  - Hotho, Andreas
AU  - Jäschke, Robert
AU  - Stumme, Gerd
A2  - 
T1  - Mining Association Rules in Folksonomies
T2  - 
PB  - 
CY  - 
PY  - 2006/
VL  - 
IS  - 
SP  - 261
EP  - 270
UR  - http://dx.doi.org/10.1007/3-540-34416-0\_28
M3  - 10.1007/3-540-34416-0\_28
KW  - associationRule
KW  - association
KW  - folksonomy
KW  - mining
L1  - 
SN  - 
N1  - djsaab's CiteULike library 20091211
N1  - 
AB  - Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. These systems provide currently relatively few structure. We discuss in this paper, how association rule mining can be adopted to analyze and structure folksonomies, and how the results can be used for ontology learning and supporting emergent semantics. We demonstrate our approach on a large scale dataset stemming from an online system.
ER  -