Mining Association Rules in Folksonomies.
In: V. Batagelj, H.-H. Bock, A. Ferligoj and A. Žiberna, editors,
Data Science and Classification. Proceedings of the 10th IFCS Conf., series Studies in Classification, Data Analysis, and Knowledge Organization, pages 261-270.
Springer, Heidelberg, 2006.
Christoph Schmitz, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
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.
Proceedings of the First Workshop on Semantic Network Analysis .
CEUR Proceedings, Aachen, 2005.
Gerd Stumme, Bettina Hoser, Christoph Schmitz and Harith Alani.
[doi]
[BibTeX]