@article{haustein2011applying,
  abstract = {Web 2.0 technologies are finding their way into academics: specialized social bookmarking services allow researchers to store and share scientific literature online. By bookmarking and tagging articles, academic prosumers generate new information about resources, i.e. usage statistics and content description of scientific journals. Given the lack of global download statistics, the authors propose the application of social bookmarking data to journal evaluation. For a set of 45 physics journals all 13,608 bookmarks from CiteULike, Connotea and BibSonomy to documents published between 2004 and 2008 were analyzed. This article explores bookmarking data in STM and examines in how far it can be used to describe the perception of periodicals by the readership. Four basic indicators are defined, which analyze different aspects of usage: Usage Ratio, Usage Diffusion, Article Usage Intensity and Journal Usage Intensity. Tags are analyzed to describe a reader-specific view on journal content.},
  added-at = {2011-05-10T10:41:52.000+0200},
  author = {Haustein, Stefanie and Siebenlist, Tobias},
  biburl = {http://www.bibsonomy.org/bibtex/2509f3fdb38fffc50bd2a232bb6800b83/jaeschke},
  doi = {10.1016/j.joi.2011.04.002},
  interhash = {13fe59aae3d6ef95b529ffe00ede4126},
  intrahash = {509f3fdb38fffc50bd2a232bb6800b83},
  issn = {1751-1577},
  journal = {Journal of Informetrics},
  keywords = {collaborative management publication tagging},
  pages = { - },
  timestamp = {2011-05-10T10:41:52.000+0200},
  title = {Applying social bookmarking data to evaluate journal usage},
  url = {http://www.sciencedirect.com/science/article/B83WV-52S72KS-1/2/a1b5622db7d1b63e2a1078669e0b9960},
  volume = {In Press, Corrected Proof},
  year = 2011
}

@article{benz2010social,
  abstract = {Social resource sharing systems are central elements of the Web 2.0 and use the same kind of lightweight knowledge representation, called folksonomy. Their large user communities and ever-growing networks of user-generated content have made them an attractive object of investigation for researchers from different disciplines like Social Network Analysis, Data Mining, Information Retrieval or Knowledge Discovery. In this paper, we summarize and extend our work on different aspects of this branch of Web 2.0 research, demonstrated and evaluated within our own social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind. We structure this presentation along the different interaction phases of a user with our system, coupling the relevant research questions of each phase with the corresponding implementation issues. This approach reveals in a systematic fashion important aspects and results of the broad bandwidth of folksonomy research like capturing of emergent semantics, spam detection, ranking algorithms, analogies to search engine log data, personalized tag recommendations and information extraction techniques. We conclude that when integrating a real-life application like BibSonomy into research, certain constraints have to be considered; but in general, the tight interplay between our scientific work and the running system has made BibSonomy a valuable platform for demonstrating and evaluating Web 2.0 research.},
  added-at = {2011-01-27T09:09:53.000+0100},
  address = {Berlin / Heidelberg},
  author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/2c9437d5ec56ba949f533aeec00f571e3/jaeschke},
  for = {Andreas},
  interhash = {57fe43734b18909a24bf5bf6608d2a09},
  intrahash = {c9437d5ec56ba949f533aeec00f571e3},
  issn = {1066-8888},
  journal = {The VLDB Journal},
  keywords = {2010 bibsonomy bookmark collaborative folksonomy kde management myown publication system tagging top vldb},
  month = dec,
  number = 6,
  pages = {849--875},
  publisher = {Springer},
  timestamp = {2011-01-27T09:09:53.000+0100},
  title = {The Social Bookmark and Publication Management System BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2010social.pdf},
  volume = 19,
  year = 2010
}

@article{macgregor2006collaborative,
  abstract = {The purpose of the paper is to provide an overview of the collaborative tagging phenomenon and explore some of the reasons for its emergence. Design/methodology/approach - The paper reviews the related literature and discusses some of the problems associated with, and the potential of, collaborative tagging approaches for knowledge organisation and general resource discovery. A definition of controlled vocabularies is proposed and used to assess the efficacy of collaborative tagging. An exposition of the collaborative tagging model is provided and a review of the major contributions to the tagging literature is presented. Findings - There are numerous difficulties with collaborative tagging systems (e.g. low precision, lack of collocation, etc.) that originate from the absence of properties that characterise controlled vocabularies. However, such systems can not be dismissed. Librarians and information professionals have lessons to learn from the interactive and social aspects exemplified by collaborative tagging systems, as well as their success in engaging users with information management. The future co-existence of controlled vocabularies and collaborative tagging is predicted, with each appropriate for use within distinct information contexts: formal and informal. Research limitations/implications - Librarians and information professional researchers should be playing a leading role in research aimed at assessing the efficacy of collaborative tagging in relation to information storage, organisation, and retrieval, and to influence the future development of collaborative tagging systems. Practical implications - The paper indicates clear areas where digital libraries and repositories could innovate in order to better engage users with information. Originality/value - At time of writing there were no literature reviews summarising the main contributions to the collaborative tagging research or debate.},
  added-at = {2008-10-27T09:14:27.000+0100},
  author = {Macgregor, George and McCulloch, Emma},
  biburl = {http://www.bibsonomy.org/bibtex/297d3915ead822cfa033fc821b424e437/jaeschke},
  doi = {10.1108/00242530610667558},
  editor = {McMenemy, David},
  interhash = {8d7a458fb6f9ff722c7d02104ec6dbd0},
  intrahash = {97d3915ead822cfa033fc821b424e437},
  issn = {0024-2535},
  journal = {Library Review},
  keywords = {bookmarking classification folksonomy information knowledge management retrieval social tagging},
  number = 5,
  pages = {291-300},
  publisher = {Emerald Group Publishing Limited},
  timestamp = {2008-10-27T09:14:27.000+0100},
  title = {Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool},
  url = {http://www.emeraldinsight.com/10.1108/00242530610667558},
  volume = 55,
  year = 2006
}

@inproceedings{tane04semantic,
  added-at = {2007-02-01T14:04:37.000+0100},
  author = {Tane, Julien and Schmitz, Christoph and Stumme, Gerd},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  biburl = {http://www.bibsonomy.org/bibtex/210efb9940c6f2881cd6c84b6c52bebd8/jaeschke},
  booktitle = {Proc. 13th International World Wide Web Conference (WWW 2004)},
  ee = {http://doi.acm.org/10.1145/1013369},
  interhash = {92089bd1e3e798b50fe7c82cd8333e7b},
  intrahash = {10efb9940c6f2881cd6c84b6c52bebd8},
  keywords = {iccs_example learning management semantic trias_example web},
  pages = {1-10},
  timestamp = {2007-02-01T14:04:37.000+0100},
  title = {Semantic resource management for the web: an e-learning application},
  url = {http://www.www2004.org/proceedings/docs/2p1.pdf},
  year = 2004
}

@inbook{schmitz2006kollaboratives,
  abstract = {Wissensmanagement in zentralisierten Wissensbasen erfordert
einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht
immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick
über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement
diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten
Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um
andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die
Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in
den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.},
  added-at = {2007-02-01T14:04:37.000+0100},
  author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/253e13744981f2c04d9239e0cf9b4e689/jaeschke},
  booktitle = {Semantic Web - Wege zur vernetzten Wissensgesellschaft},
  editor = {Pellegrini, Tassilo and Blumauer, Andreas},
  interhash = {cc0f3d4fa8f36968f02837e3f9f5c57b},
  intrahash = {53e13744981f2c04d9239e0cf9b4e689},
  isbn = {3-540-29324-8},
  keywords = {2006 collaborative iccs_example knowledge l3s management myown semantic trias_example web},
  pages = {273-290},
  publisher = {Springer},
  timestamp = {2007-02-01T14:04:37.000+0100},
  title = {Kollaboratives Wissensmanagement},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf},
  year = 2006
}

@inproceedings{Lange:2006:ASW4MKM,
  added-at = {2007-02-01T14:04:37.000+0100},
  author = {Lange, Christoph and Kohlhase, Michael},
  biburl = {http://www.bibsonomy.org/bibtex/209499c09e4c9b63f2d881ecdf13795bf/jaeschke},
  booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics},
  crossref = {SemWiki2006-proceedings},
  editor = {V\"{o}lkel, Max and Schaffert, Sebastian},
  interhash = {52fb2651a1376b7c11c0375ed91658f9},
  intrahash = {09499c09e4c9b63f2d881ecdf13795bf},
  keywords = {iccs_example knowledge management semantic trias_example wiki},
  month = {June},
  owner = {voelkel},
  publisher = {ESWC2006},
  series = {Workshop on Semantic Wikis},
  timestamp = {2007-02-01T14:04:37.000+0100},
  title = {A Semantic Wiki for Mathematical Knowledge Management},
  url = {http://semwiki.org/semwiki2006},
  year = 2006
}

@phdthesis{trier05visualization,
  added-at = {2006-09-14T08:49:50.000+0200},
  author = {Trier, Matthias},
  biburl = {http://www.bibsonomy.org/bibtex/266eb70a04e6946077182446170dd6dcf/jaeschke},
  interhash = {f36769dd1fffe61d9239e4b4b7dc40e9},
  intrahash = {66eb70a04e6946077182446170dd6dcf},
  keywords = {social detection knowledge management community network},
  timestamp = {2006-09-14T08:49:50.000+0200},
  title = {IT-supported Visualization and Evaluation of Virtual Knowledge Communities. Applying Social Network Intelligence Software in Knowledge Management to enable knowledge oriented People Network Management},
  url = {http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:83-opus-10720},
  year = 2005
}