Journal article
Discovering shared conceptualizations in folksonomies



Publication Details
Authors:
Jäschke, R.; Hotho, A.; Schmitz, C.; Ganter, B.; Stumme, G.
Publisher:
Elsevier Science Publishers B. V.
Place:
Amsterdam, The Netherlands, The Netherlands
Publication year:
2008
Journal:
Journal of Web Semantics
Pages range:
38-53
Volume number:
6
ISSN:
1570-8268

Abstract


Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples. (c) 2007 Elsevier B.V. All rights reserved.




Keywords
analysis, concept, folksonomy, formal, for:nepomuk, l3s, ol_tut2010, tagging, top, trias, wp5

Last updated on 2019-25-07 at 14:15