@inproceedings{mitzlaff2010visit,
  address = {Toronto, Canada},
  author = {Mitzlaff, Folke and Benz, Dominik and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Proceedings of the 21st ACM conference on Hypertext and hypermedia},
  file = {mitzlaff2010visit.pdf:mitzlaff2010visit.pdf:PDF},
  interhash = {5584c4c57fcd8eb4663df8b114bcf09c},
  intrahash = {a97c4f7e80dcb666450acf697002155e},
  note = {(to appear)},
  title = {Visit me, click me, be my friend: An analysis of evidence networks of user relationships in Bibsonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/mitzlaff2010visit.pdf},
  year = 2010
}

@inproceedings{benz2010semantics,
  address = {Raleigh, NC, USA},
  author = {Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 2nd Web Science Conference (WebSci10)},
  file = {benz2010semantics.pdf:benz2010semantics.pdf:PDF},
  interhash = {dbd2ac30cfb0faa29413275afc9b4387},
  intrahash = {ba43b0db4b8f7cb091fd55d59e170477},
  title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010semantics.pdf},
  year = 2010
}

@inproceedings{koerner2010stop,
  abstract = {Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the factors that influence the evolution of semantic structures in these systems. A natural hypothesis is that the quality of the emergent semantics depends on the pragmatics of tagging: Users with certain usage patterns might contribute more to the resulting semantics than others. In this work, we propose several measures which enable a pragmatic differentiation of taggers by their degree of contribution to emerging semantic structures. We distinguish between categorizers, who typically use a small set of tags as a replacement for hierarchical classification schemes, and describers, who are annotating resources with a wealth of freely associated, descriptive keywords. To study our hypothesis, we apply semantic similarity measures to 64 different partitions of a real-world and large-scale folksonomy containing different ratios of categorizers and describers. Our results not only show that ‘verbose’ taggers are most useful for the emergence of tag semantics, but also that a subset containing only 40% of the most ‘verbose’ taggers can produce results that match and even outperform the semantic precision obtained from the whole dataset. Moreover, the results suggest that there exists a causal link between the pragmatics of tagging and resulting emergent semantics. This work is relevant for designers and analysts of tagging systems interested (i) in fostering the semantic development of their platforms, (ii) in identifying users introducing “semantic noise�?, and (iii) in learning ontologies.},
  address = {Raleigh, NC, USA},
  author = {Körner, Christian and Benz, Dominik and Strohmaier, Markus and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Proceedings of the 19th International World Wide Web Conference (WWW 2010)},
  file = {koerner2010stop.pdf:koerner2010stop.pdf:PDF},
  groups = {public},
  interhash = {5afe6e4ce8357d8ac9698060fb438468},
  intrahash = {45f8d8f2a8251a5e988c596a5ebb3f2d},
  month = apr,
  publisher = {ACM},
  title = {Stop Thinking, start Tagging - Tag Semantics emerge from Collaborative Verbosity},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/koerner2010stop.pdf},
  username = {dbenz},
  year = 2010
}

@inproceedings{benz2010semantics,
  address = {Raleigh, NC, USA},
  author = {Benz, Dominik and Hotho, Andreas and Stützer, Stefan and Stumme, Gerd},
  booktitle = {Proceedings of the 2nd Web Science Conference (WebSci10)},
  file = {benz2010semantics.pdf:benz2010semantics.pdf:PDF},
  interhash = {d4a2f14bb27ce220ba43f651e42aeddc},
  intrahash = {16c77e486fb8bc527eb7734b153932ab},
  title = {Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010semantics.pdf},
  year = 2010
}

@article{benz2010query,
  abstract = {Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information ofquery logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph ofusers, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users addtags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on threecomparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typicalfolksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logsas well. },
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd},
  interhash = {dae3931a5f445dc67bf111b26f753c36},
  intrahash = {bf96c01262d15fb6eaaf558ecb9a9e69},
  journal = {Datenbank-Spektrum},
  month = jun,
  number = 1,
  pages = {15--24},
  title = {Query Logs as Folksonomies},
  url = {http://dx.doi.org/10.1007/s13222-010-0004-8},
  volume = 10,
  year = 2010
}