@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{christiaens2006metadata,
  abstract = {In this paper we give a brief overview of different metadata mechanisms (like ontologies and folksonomies) and how they relate to each other. We identify major strengths and weaknesses of these mechanisms. We claim that these mechanisms can be classified from restricted (e.g., ontology) to free (e.g., free text tagging). In our view, these mechanisms should not be used in isolation, but rather as complementary solutions, in a continuous process wherein the strong points of one increase the semantic depth of the other. We give an overview of early active research already going on in this direction and propose that methodologies to support this process be developed. We demonstrate a possible approach, in which we mix tagging, taxonomy and ontology.},
  author = {Christiaens, Stijn},
  booktitle = {Lecture Notes in Computer Science: On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops},
  file = {christiaens2006metadata.pdf:christiaens2006metadata.pdf:PDF},
  groups = {public},
  interhash = {f733d993459329ed1ef9f26d303ba0d9},
  intrahash = {efc1396e845f3db1688dc8ef154d9520},
  lastdatemodified = {2007-01-04},
  lastname = {Christiaens},
  own = {notown},
  pdf = {christiaens06-metadata.pdf},
  publisher = {Springer},
  read = {notread},
  timestamp = {2007-09-11 13:31:23},
  title = {Metadata Mechanisms: From Ontology to Folksonomy ... and Back},
  url = {http://www.springerlink.com/content/m370107220473394},
  username = {dbenz},
  workshoppub = {1},
  year = 2006
}

@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{veres2006language,
  abstract = {Folksonomies are classification schemes that emerge from the collective actions of users who tag resources with an unrestricted set of key terms. There has been a flurry of activity in this domain recently with a number of high profile web sites and search engines adopting the practice. They have sparked a great deal of excitement and debate in the popular and technical literature, accompanied by a number of analyses of the statistical properties of tagging behavior. However, none has addressed the deep nature of folksonomies. What is the nature of a tag? Where does it come from? How is it related to a resource? In this paper we present a study in which the linguistic properties of folksonomies reveal them to contain, on the one hand, tags that are similar to standard categories in taxonomies. But on the other hand, they contain additional tags to describe class properties. The implications of the findings for the relationship between folksonomy and ontology are discussed.},
  address = {Berlin / Heidelberg},
  author = {Veres, Csaba},
  booktitle = {Natural Language Processing and Information Systems},
  file = {veres2006language.pdf:veres2006language.pdf:PDF},
  groups = {public},
  interhash = {1787dec43f3c11153fc9d2617af8829c},
  intrahash = {617763caa416f98b398cd2b2f71338ee},
  lastdatemodified = {2006-09-30},
  lastname = {Veres},
  month = {July},
  own = {notown},
  pages = {58-69},
  pdf = {veres06-language.pdf},
  publisher = {Springer},
  read = {notread},
  series = {Lecture Notes in Computer Science},
  timestamp = {2007-09-11 13:31:39},
  title = {The Language of Folksonomies: What Tags Reveal About User Classification.},
  url = {http://dx.doi.org/10.1007/11765448_6},
  username = {dbenz},
  volume = {3999/2006},
  year = 2006
}

@article{golder2006structurec,
  abstract = {Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.},
  author = {Golder, Scott and Huberman, Bernardo A.},
  file = {golder2006structure.pdf:golder2006structure.pdf:PDF},
  groups = {public},
  interhash = {03565ad9c6fc315068e528a53ed158ae},
  intrahash = {f26e96f09d59ba7d33d5339fa5d4891b},
  journal = {Journal of Information Sciences},
  journalpub = {1},
  lastdatemodified = {2007-04-27},
  lastname = {Golder},
  month = {April},
  number = 2,
  own = {own},
  pages = {198--208},
  pdf = {golder06-structure.pdf},
  read = {readnext},
  timestamp = {2011-01-28 11:35:13},
  title = {The Structure of Collaborative Tagging Systems},
  url = {http://.hpl.hp.com/research/idl/papers/tags/index.html},
  username = {dbenz},
  volume = 32,
  year = 2006
}

@inproceedings{abrams1998information,
  abstract = {Bookmarks are used as "personal Web information spaces" to help people remember and retrieve interesting Web pages. A study of personal Web information spaces surveyed 322 Web users and analyzed the bookmark archives of 50 Web users. The results of this study are used to address why people make bookmarks, and how they create, use, and organize them. Recommendations for improving the organization, visualization, representation, and integration of bookmarks are provided. The recommendations include simple mechanisms for filing bookmarks at creation time, the use of time-based visualizations with automated filters, the use of contextual information in representing bookmarks, and the combination of hierarchy formation and Web page authoring to aid in organizing and viewing bookmarks.},
  address = {New York, NY, USA},
  author = {Abrams, David and Baecker, Ronald and Chignell, Mark H.},
  booktitle = {Proceedings of the SIGCHI conference on Human factors in computing systems},
  file = {abrams1998information.pdf:abrams1998information.pdf:PDF},
  interhash = {fbb2704604de0954b432c8615a0abf5b},
  intrahash = {a6f8bc8281fc0b1695fbc6ec7915c8cc},
  lastdatemodified = {2007-05-14},
  lastname = {Abrams},
  own = {own},
  pages = {41-48},
  pdf = {abrams98.pdf},
  publisher = {ACM Press/Addison-Wesley Publishing Co.},
  read = {read},
  title = {Information Archiving with Bookmarks: Personal Web Space Construction and Organization},
  url = {http://citeseer.ist.psu.edu/abrams98information.html},
  year = 1998
}

@inproceedings{abrams1997how,
  abstract = {In this detailed empirical study of WWW browsing and bookmarks we define a personal information space as having five basic properties paralleling those of a larger complex information space. We describe user behavior on the Web and show how a user's bookmark archive is a personal Web information space.},
  address = {Atlanta, GA, USA},
  author = {Abrams, David and Baecker, Ron},
  booktitle = {Proceedings of the CHI97: Conference on Human Factors in Computing Systems},
  editor = {Pemberton, Steven},
  file = {abrams1997how.pdf:abrams1997how.pdf:PDF},
  interhash = {3fe9d29bae3e22665349453b305eafed},
  intrahash = {4b01e4d2cd9b20892adba7cc0e59929a},
  lastdatemodified = {2006-07-01},
  lastname = {Abrams},
  month = {March 22-27},
  own = {own},
  pdf = {abrams97.pdf},
  read = {read},
  title = {How People Use WWW bookmarks},
  url = {http://.acm.org/sigchi/chi97/proceedings/short-talk/da.htm},
  year = 1997
}

@article{cockburn2002what,
  abstract = {This paper provides an empirical characterization of user actions at the web browser. The study is based on an analysis of 4 months of logged client-side data that describes user actions with recent versions of Netscape Navigator. In particular, the logged data allow us to determine the title, URL and time of each page visit, how often they visited each page, how long they spent at each page, the growth and content of bookmark collections, as well as a variety of other aspects of user interaction with the web. The results update and extend prior empirical characterizations of web use. Among the results we show that web page revisitation is a much more prevalent activity than previously reported (approximately 81% of pages have been previously visited by the user), that most pages are visited for a surprisingly short period of time, that users maintain large (and possibly overwhelming) bookmark collections, and that there is a marked lack of commonality in the pages visited by different users. These results have implications for a wide range of web-based tools including the interface features provided by web browsers, the design of caching proxy servers, and the design of efficient web sites.},
  author = {Cockburn, A. and McKenzie, B.},
  interhash = {94890d37b12720c1c42d17fa10d84638},
  intrahash = {6eac954669f840aa9a9841e7b83dea52},
  journal = {International Journal of Human-Computer Studies},
  lastdatemodified = {2005-08-07},
  lastname = {Cockburn},
  longnotes = {Praesenzbestand in IIG-Bib: Standnummer: Frei 49: ZI 250- Interner Vermerk: Bestand: 40.1994 - 55.2001 - mb},
  own = {own},
  pages = {903--922},
  pdf = {cockburn02.pdf},
  read = {read},
  title = {What do Web users do? An empirical analysis of Web use},
  url = {http://.cosc.canterbury.ac.nz/andrew.cockburn/},
  volume = 54,
  year = 2002
}

@inproceedings{abel2008benefit,
  abstract = {With the advent of Web 2.0 folksonomy systems like Flickr, del.icio.us, etc. have become very popular. They enable users to annotate resources (images, websites, etc.) with freely chosen keywords, so-called tags. The evolving set of such tag assignments, which are generally user-tag-resource bindings, are called folksonomies. Folksonomies embody valuable information that can be exploited by search and ranking algorithms. In this paper we describe our ongoing research in analyzing the benefit of additional semantics in folksonomy systems. We present the GroupMe! folksonomy system, which brings additional semantics to tagging systems by enabling users to group resources. We furthermore introduce different group-sensitive ranking algorithms that outperform existing folksonomy ranking strategies and define SocialHITS - a HITS-based algorithm to detect hubs and authorities in folksonomy systems.},
  address = {New York, NY, USA},
  author = {Abel, Fabian},
  booktitle = {PIKM '08: Proceeding of the 2nd PhD workshop on Information and knowledge management},
  doi = {http://doi.acm.org/10.1145/1458550.1458560},
  file = {abrams1997how.pdf:abrams1997how.pdf:PDF;abel2008benefit.pdf:abel2008benefit.pdf:PDF},
  groups = {tagora},
  interhash = {4a9d21e3405a26ab6c7e3c78f5eab98b},
  intrahash = {0276b8f54393fcfd8b24cd2a1f67ccaa},
  isbn = {978-1-60558-257-3},
  location = {Napa Valley, California, USA},
  pages = {49--56},
  publisher = {ACM},
  timestamp = {2010-01-18 20:11:55},
  title = {The benefit of additional semantics in folksonomy systems},
  url = {http://portal.acm.org/citation.cfm?id=1458560},
  username = {dbenz},
  year = 2008
}

@inproceedings{ankolekar2007two,
  abstract = {A common perception is that there are two competing visions for the future evolution of the Web: the Semantic Web and Web 2.0. A closer look, though, reveals that the core technologies and concerns of these two approaches are complementary and that each field can and must draw from the other’s strengths. We believe that future web applications will retain the Web 2.0 focus on community and usability, while drawing on Semantic Web infrastructure to facilitate mashup-like information sharing. However, there are several open issues that must be addressed before such applications can become commonplace. In this paper, we outline a semantic weblogs scenario that illustrates the potential for combining Web 2.0 and Semantic Web technologies, while highlighting the unresolved issues that impede its realization. Nevertheless, we believe that the scenario can be realized in the short-term. We point to recent progress made in resolving each of the issues as well as future research directions for each of the communities.},
  address = {New York, NY, USA},
  author = {Ankolekar, Anupriya and Krötzsch, Markus and Tran, Thanh and Vrandecic, Denny},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242684},
  file = {ankolekar2007two.pdf:ankolekar2007two.pdf:PDF},
  groups = {public},
  interhash = {1e51bd6cd043142a8de98b93e82b68b1},
  intrahash = {6b493ae653fcff556997f30273d766b9},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {825--834},
  publisher = {ACM Press},
  timestamp = {2007-08-05 16:27:33},
  title = {The two cultures: mashing up web 2.0 and the semantic web},
  url = {http://portal.acm.org/citation.cfm?id=1242684&coll=GUIDE&dl=ACM&CFID=21633871&CFTOKEN=81037701},
  username = {dbenz},
  year = 2007
}

@article{berendt2010bridging,
  author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd},
  doi = {DOI: 10.1016/j.websem.2010.04.008},
  groups = {public},
  interhash = {4969eb2b7bf1fabe60c5f23ab6383d77},
  intrahash = {f8d7bc2af5753906dc3897196daac18c},
  issn = {1570-8268},
  journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
  journalpub = {1},
  note = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences},
  number = {2-3},
  pages = {95 - 96},
  timestamp = {2010-08-09 07:26:14},
  title = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0},
  url = {http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7},
  username = {dbenz},
  volume = 8,
  year = 2010
}

@article{cattuto2006semiotic,
  abstract = {Abstract A distributed classification paradigm known as collaborative tagging has been successfully deployed in large-scale web applications designed to manage and share diverse online resources. Users of these applications organize resources by associating with them freely chosen text labels, or tags. Here we regard tags as basic dynamical entities and study the semiotic dynamics underlying collaborative tagging. We collect data from a popular system and focus on tags associated with a given resource. We find that the frequencies of tags obey to a generalized Zipf�s law and show that a Yule�Simon process with memory can be used to explain the observed frequency distributions in terms of a simple model of user behavior},
  author = {Cattuto, Ciro},
  file = {cattuto2006semiotic.pdf:cattuto2006semiotic.pdf:PDF},
  groups = {public},
  interhash = {6651fe8b8916e8407f738325c092b860},
  intrahash = {df2a1161a75e3f328f82c204f942bb8a},
  journal = {The European Physical Journal C - Particles and Fields},
  journalpub = {1},
  lastdatemodified = {2006-09-25},
  lastname = {Cattuto},
  longnotes = {doi:10.1140/epjcd/s2006-03-004-4},
  month = {August},
  own = {notown},
  pages = {33--37},
  pdf = {cattuto2006-semiotic.pdf},
  read = {notread},
  timestamp = {2007-09-11 13:31:22},
  title = {Semiotic dynamics in online social communities},
  url = {http://www.springerlink.com/content/t964j63030507341},
  username = {dbenz},
  volume = 46,
  year = 2006
}

@article{cattuto2007semiotic,
  abstract = {Collaborative tagging has been quickly gaining ground because of its ability to recruit the activity of web users into effectively organizing and sharing vast amounts of information. Here we collect data from a popular system and investigate the statistical properties of tag co-occurrence. We introduce a stochastic model of user behavior embodying two main aspects of collaborative tagging: (i) a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity; (ii) a notion of memory - or aging of resources - in the form of a heavy-tailed access to the past state of the system. Remarkably, our simple modeling is able to account quantitatively for the observed experimental features, with a surprisingly high accuracy. This points in the direction of a universal behavior of users, who - despite the complexity of their own cognitive processes and the uncoordinated and selfish nature of their tagging activity - appear to follow simple activity patterns.},
  author = {Cattuto, Ciro and Loreto, Vittorio and Pietronero, Luciano},
  file = {cattuto2007semiotic.pdf:cattuto2007semiotic.pdf:PDF},
  groups = {public},
  interhash = {189402152f540f931a0eea5b8538411f},
  intrahash = {95a8e6a348e0acde9ce781004c45b94e},
  journal = {Proceedings of the National Academy of Sciences United States of America},
  journalpub = {1},
  lastdatemodified = {2007-05-14},
  lastname = {Cattuto},
  own = {notown},
  pages = 1461,
  pdf = {cattuto06-collaborative.pdf},
  read = {notread},
  timestamp = {2007-09-11 13:31:22},
  title = {Semiotic Dynamics and Collaborative Tagging},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0605015},
  username = {dbenz},
  volume = 104,
  year = 2007
}

@inproceedings{liu2008between,
  abstract = {We present our first user study of CRAFT, a semantic prototype for collaborative investigation and analysis, which allows users to extend the system's ontology to capture new concepts as they conduct their work. We devised a paradigm in which multiple series of ontologies evolve in different trajectories from the same initial point. We analyze the ontology evolution quantitatively with several metrics, and user behavior qualitatively through interviews and observation. Based on our study, we propose a set of design suggestions for semantic applications with collaborative and implicit ontology development.},
  address = {New York, NY, USA},
  author = {Liu, Jiahui and Gruen, Daniel M.},
  booktitle = {IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces},
  doi = {http://doi.acm.org/10.1145/1378773.1378830},
  file = {liu2008between.pdf:liu2008between.pdf:PDF},
  groups = {public},
  interhash = {45e8362f274501ec6b2a81e2693b405e},
  intrahash = {8c92fc47200127eeb84f2964a3d1b528},
  isbn = {978-1-59593-987-6},
  location = {Gran Canaria, Spain},
  pages = {361--364},
  publisher = {ACM},
  timestamp = {2010-01-18 20:13:25},
  title = {Between ontology and folksonomy: a study of collaborative and implicit ontology evolution},
  url = {http://portal.acm.org/citation.cfm?id=1378830},
  username = {dbenz},
  year = 2008
}

@article{lux2008from,
  abstract = {Is Web 2.0 just hype or just a buzzword, which might disappear in the near future One way to find answers to these questions is to investigate the actual benefit of the Web 2.0 for real use cases. Within this contribution we study a very special aspect of the Web 2.0 the folksonomy and its use within self-directed learning. Guided by conceptual principles of emergent computing we point out methods, which might be able to let semantics emerge from folksonomies and discuss the effect of the results in self-directed learning.},
  author = {Lux, Mathias and Dösinger, Gisela},
  doi = {10.1504/IJKL.2007.016709},
  groups = {public},
  interhash = {5dde7a91231320f96c0c4b3e7ba9a503},
  intrahash = {dd5cdcc6449d97622033bbebcd4d1874},
  journal = {International Journal of Knowledge and Learning},
  journalpub = {1},
  month = jan,
  number = {4-5},
  pages = {515--528},
  timestamp = {2010-08-11 07:26:38},
  title = {From folksonomies to ontologies: employing wisdom of the crowds to serve learning purposes},
  url = {http://www.ingentaconnect.com/content/ind/ijkl/2008/00000003/F0020004/art00009},
  username = {dbenz},
  volume = 3,
  year = 2008
}

@inproceedings{marlow2006position,
  abstract = {In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., �tags�) to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems. Despite the rapid expansion of applications that support tagging of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photosharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.},
  address = {Edinburgh, Scotland},
  author = {Marlow, Cameron and Naaman, Mor and Boyd, Danah and Davis, Marc},
  booktitle = {Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006},
  file = {marlow2006position.pdf:marlow2006position.pdf:PDF},
  groups = {public},
  interhash = {7446351e0d902ee4f36fb750f82c50a5},
  intrahash = {d9f433de0945351fa2157c1424d9fe67},
  lastdatemodified = {2006-07-17},
  lastname = {Marlow},
  month = May,
  own = {own},
  pdf = {marlow06-tagging.pdf},
  read = {readnext},
  timestamp = {2007-09-11 13:31:31},
  title = {{Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead}},
  url = {http://.rawsugar.com/www2006/cfp.html},
  username = {dbenz},
  year = 2006
}

@inproceedings{veres2006concept,
  abstract = {The recent popularity of social software in the wake of the much hyped "Web2.0" has resulted in a flurry of activity around folksonomies, the emergent systems of classification that result from making public the individual users’ personal classifications in the form of simple free form "tags". Several approaches have emerged in the analysis of these folksonomies including mathematical approaches for clustering and identifying affinities, social theories about cultural factors in tagging, and cognitive theories about their mental underpinnings. In this paper we argue that the most useful analysis is in terms of mental phenomena since naive classification is essentially a cognitive task. We then describe a method for extracting structural properties of free form user tags, based on the linguistic properties of the tags. This reveals some deep insights in the conceptual modeling behavior of naive users. Finally we explore the usefulness of the latent structural properties of free form "tag clouds" for interoperability between folksonomies from different services.},
  author = {Veres, C.},
  booktitle = {Conceptual Modeling - ER 2006},
  file = {veres2006concept.pdf:veres2006concept.pdf:PDF},
  groups = {public},
  interhash = {ce1a0dcac78702811f22fe3dc41bc46e},
  intrahash = {13540d1afb327c09e9c894a011b6450a},
  lastdatemodified = {2007-01-08},
  lastname = {Veres},
  own = {notown},
  pages = {325--338},
  pdf = {veres06-concept.pdf},
  read = {notread},
  timestamp = {2009-09-02 13:26:48},
  title = {Concept Modeling by the Masses: Folksonomy Structure and Interoperability},
  url = {http://dx.doi.org/10.1007/11901181_25},
  username = {dbenz},
  year = 2006
}

@inproceedings{wu2006harvesting,
  abstract = {Collaborative tagging systems, or folksonomies, have the potential of becoming technological infrastructure to support knowledge management activities in an organization or a society. There are many challenges, however. This paper presents designs that enhance collaborative tagging systems to meet some key challenges: community identification, ontology generation, user and document recommendation. Design prototypes, evaluation methodology and selected preliminary results are presented.},
  address = {New York, NY, USA},
  author = {Wu, Harris and Zubair, Mohammad and Maly, Kurt},
  booktitle = {HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia},
  file = {wu2006harvesting.pdf:wu2006harvesting.pdf:PDF},
  groups = {public},
  interhash = {ea6aa5db3724812d08347d5a8309bea4},
  intrahash = {b5bfeb993316b0021084d5ac197bf5ca},
  lastdatemodified = {2006-09-25},
  lastname = {Wu},
  own = {notown},
  pages = {111--114},
  pdf = {wu06-harvesting.pdf},
  publisher = {ACM Press},
  read = {notread},
  timestamp = {2007-09-11 13:31:41},
  title = {Harvesting social knowledge from folksonomies},
  url = {http://portal.acm.org/citation.cfm?id=1149941.1149962},
  username = {dbenz},
  year = 2006
}

@article{cattuto2007network,
  abstract = {Social resource sharing systems like YouTube and del.icio.us have acquired a large number of users within the last few years. They provide rich resources for data analysis, information retrieval, and knowledge discovery applications. A first step towards this end is to gain better insights into content and structure of these systems. In this paper, we will analyse the main network characteristics of two of these systems. We consider their underlying data structures - so-called folksonomies - as tri-partite hypergraphs, and adapt classical network measures like characteristic path length and clustering coefficient to them.Subsequently, we introduce a network of tag co-occurrence and investigate some of its statistical properties, focusing on correlations in node connectivity and pointing out features that reflect emergent semantics within the folksonomy. We show that simple statistical indicators unambiguously spot non-social behavior such as spam.},
  address = {Amsterdam, The Netherlands},
  author = {Cattuto, Ciro and Schmitz, Christoph and Baldassarri, Andrea and Servedio, Vito D. P. and Loreto, Vittorio and Hotho, Andreas and Grahl, Miranda and Stumme, Gerd},
  file = {cattuto2007network.pdf:cattuto2007network.pdf:PDF},
  groups = {public},
  interhash = {fc5f2df61d28bc99b7e15029da125588},
  intrahash = {1dfe8b2aa29adf4929cbb845950f78bc},
  issn = {0921-7126},
  journal = {AI Communications},
  journalpub = {1},
  month = dec,
  number = 4,
  pages = {245--262},
  publisher = {IOS Press},
  timestamp = {2010-11-10 15:35:25},
  title = {Network properties of folksonomies},
  url = {http://portal.acm.org/citation.cfm?id=1365538},
  username = {dbenz},
  volume = 20,
  year = 2007
}

@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
}