Discovering shared conceptualizations in folksonomies Export

@article{citeulike:2273576, 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.}, address = {Institute for Algebra, Dresden University of Technology, 01062 Dresden, Germany 3}, author = {Jaschke, R. and Hotho, A. and Schmitz, C. and Ganter, B. and Stumme, G.}, citeulike-article-id = {2273576}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S1570826807000546}, citeulike-linkout-2 = {http://www.scopus.com/record/display.url?view=extended&origin=resultslist&eid=2-s2.0-37449015641}, citeulike-linkout-3 = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b}, doi = {10.1016/j.websem.2007.11.004}, issn = {15708268}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, keywords = {2008, datamining, folksonomy, proposal, review, wow}, month = {February}, number = {1}, pages = {38--53}, posted-at = {2008-12-07 01:58:47}, priority = {5}, title = {Discovering shared conceptualizations in folksonomies}, url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, volume = {6}, year = {2008} }

TY - JOUR ID - citeulike:2273576 L3 - citeulike-article-id:2273576 N2 - 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. IS - 1 JF - Web Semantics: Science, Services and Agents on the World Wide Web SN - 15708268 AD - Institute for Algebra, Dresden University of Technology, 01062 Dresden, Germany 3 EP - 53 TI - Discovering shared conceptualizations in folksonomies VL - 6 SP - 38 KW - 2008 KW - datamining KW - folksonomy KW - proposal KW - review KW - wow AU - Jaschke, R AU - Hotho, A AU - Schmitz, C AU - Ganter, B AU - Stumme, G PY - 2008/02// UR - http://dx.doi.org/10.1016/j.websem.2007.11.004 ER -