@article{10.1109/TKDE.2012.115, address = {Los Alamitos, CA, USA}, author = {Zubiaga, Arkaitz and Fresno, Victor and Martinez, Raquel and Garcia-Plaza, Alberto P.}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2012.115}, interhash = {f2e961e2b99fec0634b0d4fa3e001282}, intrahash = {8a25332bfeb33e2ad8e1e1a062976da2}, issn = {1041-4347}, journal = {IEEE Transactions on Knowledge and Data Engineering}, number = {PrePrints}, publisher = {IEEE Computer Society}, title = {Harnessing Folksonomies to Produce a Social Classification of Resources}, volume = 99, year = 2012 } @misc{quintarelli2005folksonomies, abstract = {In recent times, an unprecedented amount of Web content has begun to be generated through web logs, wikis and other social tools thanks to lower technology and cost barriers. A new host of content creators is emerging, often individuals with the will to participate in discussions and share their ideas with like-minded people. This is to say that this increasing amount of varied, valuable content is generated by non-trained, non-expert information professionals: they are at the same time users and producers of information. We have gone past a critical mass of connectivity between people that has introduced a new revolutionary ability to communicate, collaborate and share goods online. To respond to these increased informational and exchange needs, new communication models are emerging and producing an incredible amount of distributed information that information management professionals, information architects, librarians and knowledge workers at large need to link, aggregate, and organize in order to extract knowledge. The issue is whether the traditional organizational schemes used so far are suitable to address the classification needs of fast-proliferating, new information sources or if, to achieve this goal, better aggregation and concept matching tools are required. Folksonomies attempt to provide a solution to this issue, by introducing an innovative distributed approach based on social classification.}, author = {Quintarelli, Emanuele}, file = {quintarelli2005folksonomies.pdf:quintarelli2005folksonomies.pdf:PDF}, interhash = {8295fa26b7b50658f38c92b5f6e3d183}, intrahash = {857ef9d1c4704b459f218fa967056daf}, lastdatemodified = {2006-10-09}, lastname = {Quintarelli}, month = {June}, own = {own}, pdf = {quintarelli05-folksonomies.pdf}, read = {read}, title = {Folksonomies: power to the people}, url = {http://www-dimat.unipv.it/biblio/isko/doc/folksonomies.htm}, year = 2005 } @inproceedings{krause2008antisocial, abstract = {The annotation of web sites in social bookmarking systemshas become a popular way to manage and find informationon the web. The community structure of such systems attractsspammers: recent post pages, popular pages or specifictag pages can be manipulated easily. As a result, searchingor tracking recent posts does not deliver quality resultsannotated in the community, but rather unsolicited, oftencommercial, web sites. To retain the benefits of sharingone’s web content, spam-fighting mechanisms that can facethe flexible strategies of spammers need to be developed.}, address = {New York, NY, USA}, author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd}, booktitle = {AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web}, doi = {10.1145/1451983.1451998}, file = {krause2008antisocial.pdf:krause2008antisocial.pdf:PDF}, groups = {public}, interhash = {a45d40ac7776551301ad9dde5b25357f}, intrahash = {5b6b648fd25c15d594404ae26fcda6b4}, isbn = {978-1-60558-159-0}, location = {Beijing, China}, month = apr, pages = {61--68}, publisher = {ACM}, timestamp = {2010-11-10 15:35:25}, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, username = {dbenz}, year = 2008 } @inproceedings{krause2008anti, address = {New York, NY, USA}, author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd}, booktitle = {AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web}, doi = {http://doi.acm.org/10.1145/1451983.1451998}, interhash = {a45d40ac7776551301ad9dde5b25357f}, intrahash = {93af1487543e0395ee8f7e0413bbcfc1}, isbn = {978-1-60558-159-0}, location = {Beijing, China}, pages = {61--68}, publisher = {ACM}, title = {The anti-social tagger: detecting spam in social bookmarking systems}, vg-wort = {29.6}, year = 2008 } @inproceedings{krause2008anti, abstract = {The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spammers: recent post pages, popular pages or specific tag pages can be manipulated easily. As a result, searching or tracking recent posts does not deliver quality results annotated in the community, but rather unsolicited, often commercial, web sites. To retain the benefits of sharing one’s web content, spam-fighting mechanisms that can face the flexible strategies of spammers need to be developed.}, address = {New York, NY, USA}, author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd}, booktitle = {AIRWeb '08: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web}, doi = {10.1145/1451983.1451998}, interhash = {a45d40ac7776551301ad9dde5b25357f}, intrahash = {5b6b648fd25c15d594404ae26fcda6b4}, isbn = {978-1-60558-159-0}, location = {Beijing, China}, month = apr, pages = {61--68}, publisher = {ACM}, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, 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 andsearch engines adopting the practice. They have sparked a great deal of excitement and debate in the popular and technicalliterature, accompanied by a number of analyses of the statistical properties of tagging behavior. However, none has addressedthe deep nature of folksonomies. What is the nature of a tag? Where does it come from? How is it related to a resource? Inthis 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 describeclass 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}, doi = {10.1007/11765448}, editor = {Kop, Christian and Fliedl, Günther and Mayr, Heinrich C. and Métais, Elisabeth}, interhash = {1787dec43f3c11153fc9d2617af8829c}, intrahash = {d0e5be1774a6094049df3e6d604f1957}, isbn = {978-3-540-34616-6}, issn = {0302-9743}, pages = {58--69}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {The Language of Folksonomies: What Tags Reveal About User Classification}, url = {http://dx.doi.org/10.1007/11765448_6}, volume = 3999, year = 2006 } @mastersthesis{illig2008machine, address = {Kassel}, author = {Illig, Jens}, interhash = {65c16443f45ffd46175f68d14b4f809a}, intrahash = {9a65067da65e8301182b33b4ae292141}, school = {University of Kassel}, title = {Machine Learnability Analysis of Textclassifications in a Social Bookmarking Folksonomy}, type = {Bachelor Thesis}, year = 2008 } @inproceedings{basu98, address = {Menlo Park, CA, USA}, author = {Basu, Chumki and Hirsh, Haym and Cohen, William}, booktitle = {AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence}, interhash = {8baccca5d4a5001d79070bbdd5439a84}, intrahash = {90f4b7eab8a7a308c6e077a993cd19d8}, isbn = {0-262-51098-7}, location = {Madison, Wisconsin, United States}, pages = {714--720}, publisher = {American Association for Artificial Intelligence}, title = {Recommendation as classification: using social and content-based information in recommendation}, url = {http://portal.acm.org/citation.cfm?id=295240.295795}, year = 1998 } @inproceedings{1458098, address = {New York, NY, USA}, author = {Song, Yang and Zhang, Lu and Giles, C. Lee}, booktitle = {CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining}, doi = {http://doi.acm.org/10.1145/1458082.1458098}, interhash = {5c03bc1e658b6d44f053944418bdaec3}, intrahash = {d330a3537b4a14fbd40661424ec8e465}, isbn = {978-1-59593-991-3}, location = {Napa Valley, California, USA}, pages = {93--102}, publisher = {ACM}, title = {A sparse gaussian processes classification framework for fast tag suggestions}, url = {http://portal.acm.org/citation.cfm?id=1458098}, year = 2008 } @inproceedings{benz06-automatic, abstract = {Bookmarks (or Favorites, Hotlists) are a popular strategy to relocate interesting websites on the WWW by creating a personalized local URL repository. Most current browsers offer a facility to store and manage bookmarks in a hierarchy of folders; though, with growing size, users reportedly have trouble to create and maintain a stable taxonomy. This paper presents a novel collaborative approach to ease bookmark management, especially the “classification” of new bookmarks into a folder. We propose a methodology to realize the collaborative classification idea of considering how similar users have classified a bookmark. A combination of nearest-neighbour-classifiers is used to derive a recommendation from similar users on where to store a new bookmark. Additionally, a procedure to generate keyword recommendations is proposed to ease the annotation of new bookmarks. A prototype system called CariBo has been implemented as a plugin of the central bookmark server software SiteBar. A case study conducted with real user data supports the validity of the approach.}, address = {Edinburgh, Scotland}, author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars}, booktitle = {Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006}, interhash = {72efbe1b69d12bc3ce35522bc1c83e82}, intrahash = {9d685c05008804a45b72a43586777b3b}, isbn = {085432853X}, month = May, title = {Automatic Bookmark Classification - A Collaborative Approach}, url = {http://www.wmin.ac.uk/~courtes/iwi2006/benz_automatic.pdf}, year = 2006 } @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.}, author = {Macgregor, George and McCulloch, Emma}, doi = {10.1108/00242530610667558}, editor = {McMenemy, David}, interhash = {8d7a458fb6f9ff722c7d02104ec6dbd0}, intrahash = {97d3915ead822cfa033fc821b424e437}, issn = {0024-2535}, journal = {Library Review}, number = 5, pages = {291-300}, publisher = {Emerald Group Publishing Limited}, title = {Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool}, url = {http://www.emeraldinsight.com/10.1108/00242530610667558}, volume = 55, year = 2006 } @article{benz07-supporting, author = {Benz, Dominik and Tso, Karen H. L. and Schmidt-Thieme, Lars}, interhash = {181404c6a55baf6fe5db8448ac0d5bf0}, intrahash = {2571baaa4ea731965489cb66e6288886}, journal = {Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure}, title = {Supporting Collaborative Hierarchical Classification: Bookmarks as an Example}, year = 2007 } @inproceedings{658298, address = {San Francisco, CA, USA}, author = {Lee, Wee Sun}, booktitle = {ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning}, interhash = {5b16084fae913030eb04d5e5aa68a54b}, intrahash = {cf5ddf4740a73d8c161e704cac3240f6}, isbn = {1-55860-778-1}, pages = {314--321}, publisher = {Morgan Kaufmann Publishers Inc.}, title = {Collaborative Learning and Recommender Systems}, url = {http://www.comp.nus.edu.sg/~leews/publications/icml01.pdf}, year = 2001 } @inproceedings{657311, address = {San Francisco, CA, USA}, author = {Billsus, Daniel and Pazzani, Michael J.}, booktitle = {ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning}, interhash = {f8e9e9f4e1632288267b88113ff97df7}, intrahash = {977851e8e6cb73b8b94b0cea69dbb9e3}, isbn = {1-55860-556-8}, pages = {46--54}, publisher = {Morgan Kaufmann Publishers Inc.}, title = {Learning Collaborative Information Filters}, url = {http://www.ics.uci.edu/~pazzani/Publications/MLC98.pdf}, year = 1998 } @inproceedings{295795, address = {Menlo Park, CA, USA}, author = {Basu, Chumki and Hirsh, Haym and Cohen, William}, booktitle = {AAAI '98/IAAI '98: Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence}, interhash = {8baccca5d4a5001d79070bbdd5439a84}, intrahash = {90f4b7eab8a7a308c6e077a993cd19d8}, isbn = {0-262-51098-7}, location = {Madison, Wisconsin, United States}, pages = {714--720}, publisher = {American Association for Artificial Intelligence}, title = {Recommendation as classification: using social and content-based information in recommendation}, url = {ftp://ftp.cs.rutgers.edu/pub/hirsh/papers/1998/aaai1.ps}, year = 1998 } @misc{mathes04folksonomies, author = {Mathes, Adam}, interhash = {2fb667a05d8863dbb39625ed1e9d5b99}, intrahash = {45ae9616f7c7e480384d43cb2f6aec4d}, month = {December}, note = {\url{http://www.adammathes.com/academic/computer-mediated-communication/folksonomies.html}}, school = {Graduate School of Library and Information Science, University of Illinois Urbana-Champaign }, title = {{F}olksonomies -- {C}ooperative {C}lassification and {C}ommunication {T}hrough {S}hared {M}etadata}, year = 2004 }