Conference proceedings article
Mining Association Rules in Folksonomies



Publication Details
Authors:
Jäschke, R.; Hotho, A.; Stumme, G.; Schmitz, C.
Editor:
Batagelj V., Bock H.-H., Ferligoj A., Žiberna A.
Publisher:
Springer
Place:
Berlin, Heidelberg
Publication year:
2006
Pages range:
261-270
Book title:
Data Science and Classification: Proc. of the 10th IFCS Conf.
Title of series:
Studies in Classification, Data Analysis, and Knowledge Organization

Abstract
Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. These systems provide currently relatively fewstructure. We discuss in this paper, how association rule miningcan be adopted to analyze and structure folksonomies, and how the results can be usedfor ontology learning and supporting emergent semantics. Wedemonstrate our approach on a large scale dataset stemming from anonline system.


Keywords
association, folksonomy, iccs_example, l3s, mining, ol_tut2010, rule, trias_example

Last updated on 2019-25-07 at 13:18