Social tagging systems have established themselves as an important part in
day's web and have attracted the interest from our research community in a
riety of investigations. The overall vision of our community is that simply
rough interactions with the system, i.e., through tagging and sharing of
sources, users would contribute to building useful semantic structures as
ll as resource indexes using uncontrolled vocabulary not only due to the
sy-to-use mechanics. Henceforth, a variety of assumptions about social
gging systems have emerged, yet testing them has been difficult due to the
sence of suitable data. In this work we thoroughly investigate three
ailable assumptions - e.g., is a tagging system really social? - by examining
ve log data gathered from the real-world public social tagging system
bSonomy. Our empirical results indicate that while some of these assumptions
ld to a certain extent, other assumptions need to be reflected and viewed in
very critical light. Our observations have implications for the design of
ture search and other algorithms to better reflect the actual user behavior.

@techreport{doerfel2014course, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, title = {Of course we share! Testing Assumptions about Social Tagging Systems}, year = {2014}, note = {cite arxiv:1401.0629}, url = {http://arxiv.org/abs/1401.0629}, keywords = {2014, analysis, assumptions, bibsonomy, data, folksonomy, log, myown, share, social, tagging, testing, weblog}, abstract = {Social tagging systems have established themselves as an important part in
day's web and have attracted the interest from our research community in a
riety of investigations. The overall vision of our community is that simply
rough interactions with the system, i.e., through tagging and sharing of
sources, users would contribute to building useful semantic structures as
ll as resource indexes using uncontrolled vocabulary not only due to the
sy-to-use mechanics. Henceforth, a variety of assumptions about social
gging systems have emerged, yet testing them has been difficult due to the
sence of suitable data. In this work we thoroughly investigate three
ailable assumptions - e.g., is a tagging system really social? - by examining
ve log data gathered from the real-world public social tagging system
bSonomy. Our empirical results indicate that while some of these assumptions
ld to a certain extent, other assumptions need to be reflected and viewed in
very critical light. Our observations have implications for the design of
ture search and other algorithms to better reflect the actual user behavior.} }

%0 = techreport %A = Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus %D = 2014 %T = Of course we share! Testing Assumptions about Social Tagging Systems %U = http://arxiv.org/abs/1401.0629

@book{atzmueller2013ubiquitous,, title = {Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers}, editor = {Atzmueller, Martin and Chin, Alvin and Helic, Denis and Hotho, Andreas}, publisher = {Imprint: Springer}, address = {Berlin, Heidelberg}, year = {2013}, url = {http://link.springer.com/book/10.1007/978-3-642-45392-2}, isbn = {9783642453915 3642453910 9783642453922 3642453929}, keywords = {2013, analysis, bibsonomy, media, myown, postproceedings, social, workshop} }

%0 = book %C = Berlin, Heidelberg %D = 2013 %I = Imprint: Springer %T = Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers %U = http://link.springer.com/book/10.1007/978-3-642-45392-2

@inproceedings{eisterlehner2010visit, author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas}, title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy}, booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia}, address = {Toronto, Canada}, year = {2010}, keywords = {2010, analysis, bibsonomy, evidence, itegpub, l3s, links, myown, networks, semantic, sna, web} }

%0 = inproceedings %A = Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas %B = Proceedings of the 21st ACM conference on Hypertext and hypermedia %C = Toronto, Canada %D = 2010 %T = Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy

@article{jaeschke08discovering, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, title = {Discovering Shared Conceptualizations in Folksonomies}, journal = {Journal of Web Semantics}, year = {2008}, volume = {6}, number = {1}, pages = {38-53}, url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, keywords = {2008, analysis, bibsonomy, concept, discovering, fca, folksonomies, formal, itegpub, l3s, myown, shared, triadic} }

%0 = article %A = Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd %D = 2008 %T = Discovering Shared Conceptualizations in Folksonomies %U = http://dx.doi.org/10.1016/j.websem.2007.11.004

@article{jaeschke08discovering, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, title = {Discovering Shared Conceptualizations in Folksonomies}, journal = {Journal of Web Semantics}, year = {2008}, volume = {6}, number = {1}, pages = {38-53}, url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, keywords = {2008, FCA, OntologyHandbook, analysis, bibsonomy, concept, discovering, fca, folksonomies, formal, itegpub, l3s, myown, shared, triadic} }

%0 = article %A = Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd %D = 2008 %T = Discovering Shared Conceptualizations in Folksonomies %U = http://dx.doi.org/10.1016/j.websem.2007.11.004

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.

@article{jaeschke2008discovering, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, title = {Discovering Shared Conceptualizations in Folksonomies}, booktitle = {Semantic Web and Web 2.0}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, year = {2008}, volume = {6}, number = {1}, pages = {38--53}, url = {http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b}, keywords = {2008, analysis, bibsonomy, concept, discovering, fca, folksonomy, formal, myown, tagging, taggingsurvey}, 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.} }

%0 = article %A = Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd %B = Semantic Web and Web 2.0 %D = 2008 %T = Discovering Shared Conceptualizations in Folksonomies %U = http://www.sciencedirect.com/science/article/B758F-4R53WD4-1/2/ae56bd6e7132074272ca2035be13781b

BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.

@inproceedings{jaeschke2007analysis, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd}, title = {Analysis of the Publication Sharing Behaviour in BibSonomy}, editor = {Priss, U. and Polovina, S. and Hill, R.}, booktitle = {Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)}, series = {Lecture Notes in Artificial Intelligence}, publisher = {Springer-Verlag}, address = {Berlin, Heidelberg}, year = {2007}, volume = {4604}, pages = {283--295}, isbn = {3-540-73680-8}, keywords = {2007, analysis, bibsonomy, bookmarking, fca, folksonomy, iccs, l3s, myown, ol_tut2010, social, trias}, abstract = {BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.} }

%0 = inproceedings %A = Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd %B = Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007) %C = Berlin, Heidelberg %D = 2007 %I = Springer-Verlag %T = Analysis of the Publication Sharing Behaviour in BibSonomy