@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
}

@inproceedings{hotho2006emergent,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. In thispaper we specify a formal model for folksonomies, briefly describeour own system BibSonomy, which allows for sharing both bookmarks andpublication references, and discuss first steps towards emergent semantics.},
  address = {Bonn},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Informatik 2006 -- Informatik für Menschen. Band 2},
  editor = {Hochberger, Christian and Liskowsky, Rüdiger},
  file = {hotho2006emergent.pdf:hotho2006emergent.pdf:PDF},
  groups = {public},
  interhash = {53e5677ab0bf1a8f5a635cc32c9082ba},
  intrahash = {05043cc20f1e0f5a612135c970e4f1ac},
  month = {October},
  note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
  publisher = {Gesellschaft für Informatik},
  series = {Lecture Notes in Informatics},
  title = {Emergent Semantics in BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf},
  username = {dbenz},
  volume = {P-94},
  year = 2006
}

@article{levy2008learning,
  author = {Levy, M. and Sandler, M.},
  file = {levy2008learning.pdf:levy2008learning.pdf:PDF},
  groups = {public},
  interhash = {82ca1eaa0983bf17582b4b02597f2a1d},
  intrahash = {0681ab4879e2378295f724eb73e7360c},
  journal = {Journal of New Music Research},
  number = 2,
  pages = {137--150},
  publisher = {Routledge, part of the Taylor \& Francis Group},
  title = {Learning latent semantic models for music from social tags},
  username = {dbenz},
  volume = 37,
  year = 2008
}

@inproceedings{aurnhammer2006augmenting,
  abstract = {We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. Incontrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complementedby simple image analysis and classification. This allows us to find new relations between data elements. We introduce theconcept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborativetagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map.These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.},
  author = {Aurnhammer, Melanie and Hanappe, Peter and Steels, Luc},
  file = {aurnhammer2006augmenting.pdf:aurnhammer2006augmenting.pdf:PDF},
  groups = {public},
  interhash = {a9d35e917da138f929b5d81f1dab4fd0},
  intrahash = {a286ce64106a503e135e7114365c77b2},
  journal = {The Semantic Web - ISWC 2006},
  pages = {58--71},
  timestamp = {2009-08-11 18:38:56},
  title = {Augmenting Navigation for Collaborative Tagging with Emergent Semantics},
  url = {http://dx.doi.org/10.1007/11926078_5},
  username = {dbenz},
  volume = 4273,
  year = 2006
}

@inproceedings{bullinaria2008semantic,
  author = {Bullinaria, J.A.},
  file = {bullinaria2008semantic.pdf:bullinaria2008semantic.pdf:PDF},
  groups = {public},
  interhash = {cdb7b1ff0e89f61f84e2c15a0e46c221},
  intrahash = {efae206c0f89363a3273a8d57c87eff5},
  journal = {ESSLLI Workshop on Distributional Lexical Semantics},
  timestamp = {2011-01-28 09:53:43},
  title = {Semantic Categorization Using Simple Word Co-occurrence statistics},
  username = {dbenz},
  year = 2008
}

@inproceedings{zhou2008unsupervised,
  abstract = {This paper deals with the problem of exploring hierarchical semantics from social annotations. Recently, social annotationservices have become more and more popular in Semantic Web. It allows users to arbitrarily annotate web resources, thus, largelylowers the barrier to cooperation. Furthermore, through providing abundant meta-data resources, social annotation might becomea key to the development of Semantic Web. However, on the other hand, social annotation has its own apparent limitations,for instance, 1) ambiguity and synonym phenomena and 2) lack of hierarchical information. In this paper, we propose an unsupervisedmodel to automatically derive hierarchical semantics from social annotations. Using a social bookmark service Del.icio.usas example, we demonstrate that the derived hierarchical semantics has the ability to compensate those shortcomings. We furtherapply our model on another data set from Flickr to testify our model’s applicability on different environments. The experimentalresults demonstrate our model’s efficiency.},
  author = {Zhou, Mianwei and Bao, Shenghua and Wu, Xian and Yu, Yong},
  file = {zhou2008unsupervised.pdf:zhou2008unsupervised.pdf:PDF},
  groups = {public},
  interhash = {e8397fd51d43531b91e81776c879f487},
  intrahash = {ee6da1cc1300cf4fb68fc58d5e2bb819},
  journal = {The Semantic Web},
  pages = {680--693},
  timestamp = {2009-09-24 23:27:32},
  title = {An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations},
  url = {http://dx.doi.org/10.1007/978-3-540-76298-0_49},
  username = {dbenz},
  year = 2008
}

@article{raysonecember2008from,
  abstract = {This paper reports the extension of the key words method for the comparison of corpora. Using automatic tagging software that assigns part-of-speech and semantic field (domain) tags, a method is described which permits the extraction of key domains by applying the keyness calculation to tag frequency lists. The combination of the key words and key domains methods is shown to allow macroscopic analysis (the study of the characteristics of whole texts or varieties of language) to inform the microscopic level (focussing on the use of a particular linguistic feature) and thereby suggesting those linguistic features which should be investigated further. The resulting 'data-driven' approach presented here combines elements of both the 'corpus-based' and 'corpus-driven' paradigms in corpus linguistics. A web-based tool, Wmatrix, implementing the proposed method is applied in a case study: the comparison of UK 2001 general election manifestos of the Labour and Liberal Democratic parties.},
  author = {Rayson, Paul},
  doi = {10.1075/ijcl.13.4.06ray},
  groups = {public},
  interhash = {dff324bd5ca64c55a2e491e439a7b5c8},
  intrahash = {753a948e9239f56f7d29b1d24bebb2a9},
  journal = {International Journal of Corpus Linguistics},
  journalpub = {1},
  pages = {519-549(31)},
  title = {From key words to key semantic domains},
  url = {http://www.ingentaconnect.com/content/jbp/ijcl/2008/00000013/00000004/art00005},
  username = {dbenz},
  volume = 13,
  year = 2008
}

@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{aurnhammer2006augmenting,
  abstract = {We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. Incontrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complementedby simple image analysis and classification. This allows us to find new relations between data elements. We introduce theconcept of a navigation map, that describes links between users, tags, and data elements for the example of the collaborativetagging site Flickr. We show that introducing similarity search based on image features yields additional links on this map.These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.},
  author = {Aurnhammer, Melanie and Hanappe, Peter and Steels, Luc},
  file = {aurnhammer2006augmenting.pdf:aurnhammer2006augmenting.pdf:PDF},
  interhash = {a9d35e917da138f929b5d81f1dab4fd0},
  intrahash = {a286ce64106a503e135e7114365c77b2},
  journal = {The Semantic Web - ISWC 2006},
  pages = {58--71},
  title = {Augmenting Navigation for Collaborative Tagging with Emergent Semantics},
  url = {http://dx.doi.org/10.1007/11926078_5},
  volume = 4273,
  year = 2006
}

@article{bullinaria2008semantic,
  author = {Bullinaria, J.A.},
  file = {bullinaria2008semantic.pdf:bullinaria2008semantic.pdf:PDF},
  interhash = {cdb7b1ff0e89f61f84e2c15a0e46c221},
  intrahash = {efae206c0f89363a3273a8d57c87eff5},
  journal = {ESSLLI Workshop on Distributional Lexical Semantics},
  title = {Semantic Categorization Using Simple Word Co-occurrence statistics},
  year = 2008
}

@inproceedings{hotho2006das,
  abstract = {Immer mehr Soziale-Lesezeichen-Systeme entstehen im heutigen Web. In solchen Systemen erstellen die Nutzer leichtgewichtige begriffliche Strukturen, so genannte Folksonomies. Ihren Erfolg verdanken sie der Tatsache, dass man keine speziellen Fähigkeiten benötigt, um an der Gestaltung mitzuwirken. In diesem Artikel beschreiben wir unser System BibSonomy. Es erlaubt das Speichern, Verwalten und Austauschen sowohl von Lesezeichen (Bookmarks) als auch von Literaturreferenzen in Form von BibTeX-Einträgen. Die Entwicklung des verwendeten Vokabulars und der damit einhergehenden Entstehung einer gemeinsamen Semantik wird detailliert diskutiert.},
  address = {Baden-Baden},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Social Software in der Wertschöpfung},
  file = {hotho2006das.pdf:hotho2006das.pdf:PDF},
  groups = {public},
  interhash = {1b39e4a77cac919f9030601711aad543},
  intrahash = {a333df6fdc7ff9322e3ce03988a7965e},
  pdf = {E:\home\help_of_all_helps.pdf},
  publisher = {Nomos},
  timestamp = {2009-09-29 12:35:44},
  title = {Das Entstehen von Semantik in BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006entstehen.pdf},
  username = {dbenz},
  year = 2006
}

@inproceedings{hotho2006emergent,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. In thispaper we specify a formal model for folksonomies, briefly describeour own system BibSonomy, which allows for sharing both bookmarks andpublication references, and discuss first steps towards emergent semantics.},
  address = {Bonn},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Informatik 2006 -- Informatik für Menschen. Band 2},
  editor = {Hochberger, Christian and Liskowsky, Rüdiger},
  file = {hotho2006emergent.pdf:hotho2006emergent.pdf:PDF},
  groups = {public},
  interhash = {53e5677ab0bf1a8f5a635cc32c9082ba},
  intrahash = {05043cc20f1e0f5a612135c970e4f1ac},
  month = {October},
  note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
  publisher = {Gesellschaft für Informatik},
  series = {Lecture Notes in Informatics},
  timestamp = {2009-09-14 18:13:04},
  title = {Emergent Semantics in BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf},
  username = {dbenz},
  volume = {P-94},
  year = 2006
}

@inproceedings{ley2010cognitive,
  abstract = {Researching the emergence of semantics in social systems needs to take into account how users process information in their cognitive system. We report results of an experimental study in which we examined the interaction between individual expertise and the basic level advantage in collaborative tagging. The basic level advantage describes availability in memory of certain preferred levels of taxonomic abstraction when categorizing objects and has been shown to vary with level of expertise. In the study, groups of students tagged internet resources for a 10-week period. We measured the availability of tags in memory with an association test and a relevance rating and found a basic level advantage for tags from more general as opposed to specific levels of the taxonomy. An interaction with expertise also emerged. Contrary to our expectations, groups that spent less time to develop a shared understanding shifted to more specific levels as compared to groups that spent more time on a topic. We attribute this to impaired collaboration in the groups. We discuss implications for personalized tag and resource recommendations.},
  author = {Ley, Tobias and Seitlinger, Paul},
  booktitle = {CEUR Workshop Proceedings of the International Workshop on Adaptation in Social and Semantic Web (SASWeb2010)},
  editor = {Cena, Effect F. and Dattolo, A. and Kleanthous, S. and Tasso, C. and Vallejo, D. B. and Vassileva:, J.},
  file = {ley2010cognitive.pdf:ley2010cognitive.pdf:PDF},
  groups = {public},
  interhash = {dca2efa84e49e0ccb70231592df83f07},
  intrahash = {02265986290cb7b38958e7c33b2c15ad},
  pages = {13-18},
  timestamp = {2010-08-12 16:16:57},
  title = {A Cognitive Perspective on Emergent Semantics in Collaborative Tagging: The Basic Level Effect},
  url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-590/sasweb10_2.pdf},
  username = {dbenz},
  volume = 590,
  year = 2010
}

@misc{leydesdorff2010semantic,
  abstract = { Meaning can be generated when information is related at a systemic level.Such a system can be an observer, but also a discourse, for example,operationalized as a set of documents. The measurement of semantics assimilarity in patterns (correlations) and latent variables (factor analysis)has been enhanced by computer techniques and the use of statistics; forexample, in "Latent Semantic Analysis". This communication provides anintroduction, an example, pointers to relevant software, and summarizes thechoices that can be made by the analyst. Visualization ("semantic mapping") isthus made more accessible.},
  author = {Leydesdorff, Loet and Welbers, Kasper},
  file = {leydesdorff2010semantic.pdf:leydesdorff2010semantic.pdf:PDF},
  groups = {public},
  interhash = {ae82f513935ffa158395683303d52517},
  intrahash = {cee25eef0438b6ac2998041dbd93016e},
  note = {cite arxiv:1011.5209},
  timestamp = {2010-11-24 10:21:03},
  title = {The semantic mapping of words and co-words in contexts},
  url = {http://arxiv.org/abs/1011.5209},
  username = {dbenz},
  year = 2010
}

@article{meo2009exploitation,
  abstract = {In this paper we present a new approach to supporting users to annotate and browse resources referred by a folksonomy. Our approach is characterized by the following novelties: (i) it proposes a probabilistic technique to quickly and accurately determine the similarity and the generalization degrees of two tags; (ii) it proposes two hierarchical structures and two related algorithms to arrange groups of semantically related tags in a hierarchy; this allows users to visualize tags of their interests according to desired semantic granularities and, then, helps them to find those tags best expressing their information needs. In this paper we first illustrate the technical characteristics of our approach; then we describe various experiments allowing its performance to be tested; finally, we compare it with other related approaches already proposed in the literature.},
  address = {Oxford, UK, UK},
  author = {Meo, Pasquale De and Quattrone, Giovanni and Ursino, Domenico},
  doi = {http://dx.doi.org/10.1016/j.is.2009.02.004},
  file = {meo2009exploitation.pdf:meo2009exploitation.pdf:PDF},
  groups = {public},
  interhash = {106972d128b1ec0f9d66e2edf1590d0d},
  intrahash = {014f9b4d75c01fa83bfa5eb703eea2d4},
  issn = {0306-4379},
  journal = {Inf. Syst.},
  journalpub = {1},
  number = 6,
  pages = {511--535},
  publisher = {Elsevier Science Ltd.},
  timestamp = {2009-12-17 14:17:03},
  title = {Exploitation of semantic relationships and hierarchical data structures to support a user in his annotation and browsing activities in folksonomies},
  url = {http://portal.acm.org/citation.cfm?id=1542755},
  username = {dbenz},
  volume = 34,
  year = 2009
}

@article{raysonecember2008from,
  abstract = {This paper reports the extension of the key words method for the comparison of corpora. Using automatic tagging software that assigns part-of-speech and semantic field (domain) tags, a method is described which permits the extraction of key domains by applying the keyness calculation to tag frequency lists. The combination of the key words and key domains methods is shown to allow macroscopic analysis (the study of the characteristics of whole texts or varieties of language) to inform the microscopic level (focussing on the use of a particular linguistic feature) and thereby suggesting those linguistic features which should be investigated further. The resulting 'data-driven' approach presented here combines elements of both the 'corpus-based' and 'corpus-driven' paradigms in corpus linguistics. A web-based tool, Wmatrix, implementing the proposed method is applied in a case study: the comparison of UK 2001 general election manifestos of the Labour and Liberal Democratic parties.},
  author = {Rayson, Paul},
  doi = {10.1075/ijcl.13.4.06ray},
  interhash = {dff324bd5ca64c55a2e491e439a7b5c8},
  intrahash = {90063fef84e298bd076fb5cd91d50a7c},
  journal = {International Journal of Corpus Linguistics},
  pages = {519-549(31)},
  title = {From key words to key semantic domains},
  url = {http://www.ingentaconnect.com/content/jbp/ijcl/2008/00000013/00000004/art00005},
  volume = 13,
  year = {December 2008}
}

@inproceedings{wagner2010wisdom,
  abstract = {Although one might argue that little wisdom can be conveyed in messages of 140 characters or less, this paper sets out to explore whether the aggregation of messages in social awareness streams, such as Twitter, conveys meaningful information about a given domain. As a research community, we know little about the structural and semantic properties of such streams, and how they can be analyzed, characterized and used. This paper introduces a network-theoretic model of social awareness stream, a so-called \tweetonomy", together with a set of stream-based measures that allow researchers to systematically define and compare different stream aggregations. We apply the model and measures to a dataset acquired from Twitter to study emerging semantics in selected streams. The network-theoretic model and the corresponding measures introduced in this paper are relevant for researchers interested in information retrieval and ontology learning from social awareness streams. Our empirical findings demonstrate that different social awareness stream aggregations exhibit interesting differences, making them amenable for different applications.},
  author = {Wagner, C. and Strohmaier, M.},
  booktitle = {Proc. of the Semantic Search 2010 Workshop (SemSearch2010)},
  file = {wagner2010wisdom.pdf:wagner2010wisdom.pdf:PDF},
  groups = {public},
  interhash = {02c222a4f9abd5964ea61af034769af4},
  intrahash = {2f96232a648d4fd1617c389d899f3d2b},
  location = {Raleigh, NC, USA},
  month = {april},
  timestamp = {2010-04-19 08:03:47},
  title = {The Wisdom in Tweetonomies: Acquiring Latent Conceptual Structures from Social Awareness Streams},
  url = {http://mstrohm.wordpress.com/2010/04/17/on-taxonomies-folksonomies-and-tweetonomies/},
  username = {dbenz},
  year = 2010
}

@inproceedings{auer2007what,
  abstract = {Wikis are established means for the collaborative authoring, versioning and publishing of textual articles. The Wikipedia project, for example, succeeded in creating the by far largest encyclopedia just on the basis of a wiki. Recently, several approaches have been proposed on how to extend wikis to allow the creation of structured and semantically enriched content. However, the means for creating semantically enriched structured content are already available and are, although unconsciously, even used by Wikipedia authors. In this article, we present a method for revealing this structured content by extracting information from template instances. We suggest ways to efficiently query the vast amount of extracted information (e.g. more than 8 million RDF statements for the English Wikipedia version alone), leading to astonishing query answering possibilities (such as for the title question). We analyze the quality of the extracted content, and propose strategies for quality improvements with just minor modifications of the wiki systems being currently used.},
  author = {Auer, S{\"o}ren and Lehmann, Jens},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {ESWC},
  crossref = {DBLP:conf/esws/2007},
  ee = {http://dx.doi.org/10.1007/978-3-540-72667-8_36},
  file = {auer2007what.pdf:auer2007what.pdf:PDF},
  groups = {public},
  interhash = {2b70ab546da1b45f5350d3ff742c4288},
  intrahash = {b8e464b4a672530bf91c9189f17cca73},
  pages = {503-517},
  timestamp = {2010-02-23 14:49:49},
  title = {What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content},
  url = {http://www.springerlink.com/content/3131t21p634191n2/},
  username = {dbenz},
  year = 2007
}

@article{zhou2008unsupervised,
  abstract = {This paper deals with the problem of exploring hierarchical semantics from social annotations. Recently, social annotationservices have become more and more popular in Semantic Web. It allows users to arbitrarily annotate web resources, thus, largelylowers the barrier to cooperation. Furthermore, through providing abundant meta-data resources, social annotation might becomea key to the development of Semantic Web. However, on the other hand, social annotation has its own apparent limitations,for instance, 1) ambiguity and synonym phenomena and 2) lack of hierarchical information. In this paper, we propose an unsupervisedmodel to automatically derive hierarchical semantics from social annotations. Using a social bookmark service Del.icio.usas example, we demonstrate that the derived hierarchical semantics has the ability to compensate those shortcomings. We furtherapply our model on another data set from Flickr to testify our model’s applicability on different environments. The experimentalresults demonstrate our model’s efficiency.},
  author = {Zhou, Mianwei and Bao, Shenghua and Wu, Xian and Yu, Yong},
  file = {zhou2008unsupervised.pdf:zhou2008unsupervised.pdf:PDF},
  interhash = {e8397fd51d43531b91e81776c879f487},
  intrahash = {ee6da1cc1300cf4fb68fc58d5e2bb819},
  journal = {The Semantic Web},
  pages = {680--693},
  title = {An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations},
  url = {http://dx.doi.org/10.1007/978-3-540-76298-0_49},
  year = 2008
}

@inproceedings{halpin2006dynamics,
  abstract = {The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems. A number of questions remain unanswered, however, regarding the nature of collaborative tagging systems including the dynamics of such systems and whether coherent classification schemes can emerge from undirected tagging by users. Currently millions of users are using collaborative tagging without centrally organizing principles, and many suspect this exhibits features considered to be indicative of a complex system. If this is the case, it remains to be seem whether collaborative tagging by users over time leads to emergent classi- fication schemes that could be formalized into an ontology usable by the Semantic Web. This paper uses data from �popular� tagged sites on the social bookmarking site del.icio.us to examine the dynamics of such collaborative tagging systems. In particular, we are trying to determine whether the distribution of tag frequencies stabilizes, which indicates a degree of cohesion or consensus among users about the optimal tags to describe particular sites. We use tag co-occurrence networks for a sample domain of tags to analyze the meaning of particular tags given their relationship to other tags and automatically create an ontology. We also produce a generative model of collaborative tagging in order to model and understand some of the basic dynamics behind the process.},
  author = {Halpin, Harry and Robu, Valentin and Shepard, Hana},
  booktitle = {Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW'06)},
  file = {halpin2006dynamics.pdf:halpin2006dynamics.pdf:PDF},
  groups = {public},
  interhash = {86b08d03b5f0bd947fd9095dc2c9a70c},
  intrahash = {266b31ad3599499aacf593e82e775c5b},
  lastdatemodified = {2007-01-04},
  lastname = {Halpin},
  own = {notown},
  pdf = {halpin06-dynamics.pdf},
  read = {notread},
  timestamp = {2007-05-25 16:05:53},
  title = {The Dynamics and Semantics of Collaborative Tagging},
  username = {dbenz},
  year = 2006
}