@inproceedings{Ames:2007:WWT:1240624.1240772, abstract = {Why do people tag? Users have mostly avoided annotating media such as photos -- both in desktop and mobile environments -- despite the many potential uses for annotations, including recall and retrieval. We investigate the incentives for annotation in Flickr, a popular web-based photo-sharing system, and ZoneTag, a cameraphone photo capture and annotation tool that uploads images to Flickr. In Flickr, annotation (as textual tags) serves both personal and social purposes, increasing incentives for tagging and resulting in a relatively high number of annotations. ZoneTag, in turn, makes it easier to tag cameraphone photos that are uploaded to Flickr by allowing annotation and suggesting relevant tags immediately after capture.

A qualitative study of ZoneTag/Flickr users exposed various tagging patterns and emerging motivations for photo annotation. We offer a taxonomy of motivations for annotation in this system along two dimensions (sociality and function), and explore the various factors that people consider when tagging their photos. Our findings suggest implications for the design of digital photo organization and sharing applications, as well as other applications that incorporate user-based annotation.}, acmid = {1240772}, address = {New York, NY, USA}, author = {Ames, Morgan and Naaman, Mor}, booktitle = {Proceedings of the SIGCHI conference on Human factors in computing systems}, doi = {10.1145/1240624.1240772}, interhash = {bd24c17d66d2b904b3fc9444c2b64b44}, intrahash = {bc08f76536610f3f376bece5f0b46ad5}, isbn = {978-1-59593-593-9}, location = {San Jose, California, USA}, numpages = {10}, pages = {971--980}, publisher = {ACM}, series = {CHI '07}, title = {Why we tag: motivations for annotation in mobile and online media}, url = {http://doi.acm.org/10.1145/1240624.1240772}, year = 2007 } @inproceedings{jaeschke2006wege, abstract = {Ein wichtiger Baustein des neu entdeckten World Wide Web -- des "`Web 2.0"' -- stellen Folksonomies dar. In diesen Systemen können Benutzer gemeinsam Ressourcen verwalten und mit Schlagwörtern versehen. Die dadurch entstehenden begrifflichen Strukturen stellen ein interessantes Forschungsfeld dar. Dieser Artikel untersucht Ansätze und Wege zur Entdeckung und Strukturierung von Nutzergruppen ("Communities") in Folksonomies.}, address = {Halle-Wittenberg}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. 18. Workshop Grundlagen von Datenbanken}, editor = {Braß, Stefan and Hinneburg, Alexander}, interhash = {59224b5889a24108434a9b5ecc6b0887}, intrahash = {2b6be3bd5daee7119973fcf69909956f}, month = {June}, pages = {80-84}, publisher = {Martin-Luther-Universität }, title = {Wege zur Entdeckung von Communities in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006wege.pdf}, year = 2006 } @article{journals/corr/MitzlaffABHS13, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, ee = {http://arxiv.org/abs/1309.3888}, interhash = {40aa075d925f2e6e009986fd9e60b11b}, intrahash = {6f8017b9b01047d88b8e092747e25c4b}, journal = {CoRR}, title = {User-Relatedness and Community Structure in Social Interaction Networks.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1309.html#MitzlaffABHS13}, volume = {abs/1309.3888}, year = 2013 } @book{atzmueller2013ubiquitous, address = {Berlin, Heidelberg}, editor = {Atzmueller, Martin and Chin, Alvin and Helic, Denis and Hotho, Andreas}, interhash = {b0fcec93b875c8b0060087bc07944e89}, intrahash = {1e2d036351662d35ef95719554d37e46}, isbn = {9783642453915 3642453910 9783642453922 3642453929}, publisher = {Imprint: Springer}, refid = {867052137}, title = {Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers}, url = {http://link.springer.com/book/10.1007/978-3-642-45392-2}, year = 2013 } @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.}, author = {Benz, D and Hotho, A and Jaschke, R and Krause, B and Mitzlaff, F and Schmitz, C and Stumme, G}, interhash = {102300e311e97ef3f7d78c64c347bf14}, intrahash = {3df3df75c079a4b2aa5535048fa59d7f}, journal = {VLDB JOURNAL}, month = {12}, number = 6, title = {The social bookmark and publication management system bibsonomy A platform for evaluating and demonstrating Web 2.0 research}, uniqueid = {000286037700006|edswsc}, volume = 19, year = 2010 } @article{Benz:2010:SBP:1921763.1921804, 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.}, acmid = {1921804}, address = {Secaucus, NJ, USA}, author = {Benz, Dominik and Hotho, Andreas and J\"{a}schke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {e65eac84a375ab707492051fadc77db2}, intrahash = {cf9f0462a31f4816126046133bb497e1}, issn = {1066-8888}, issue_date = {December 2010}, journal = {The VLDB Journal}, month = dec, number = 6, numpages = {27}, pages = {849--875}, publisher = {Springer-Verlag New York, Inc.}, title = {The Social Bookmark and Publication Management System Bibsonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, volume = 19, year = 2010 } @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.}, address = {Berlin / Heidelberg}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {57fe43734b18909a24bf5bf6608d2a09}, intrahash = {c9437d5ec56ba949f533aeec00f571e3}, issn = {1066-8888}, journal = {The VLDB Journal}, month = dec, number = 6, pages = {849--875}, publisher = {Springer}, 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{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.}, address = {Berlin / Heidelberg}, affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {57fe43734b18909a24bf5bf6608d2a09}, intrahash = {5eb699b2e53803ca9e5fadf22d8b5966}, issn = {1066-8888}, issue = {6}, journal = {The VLDB Journal}, keyword = {Computer Science}, pages = {849-875}, publisher = {Springer}, title = {The social bookmark and publication management system bibsonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, volume = 19, year = 2010 } @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.}, address = {Berlin / Heidelberg}, affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {57fe43734b18909a24bf5bf6608d2a09}, intrahash = {5eb699b2e53803ca9e5fadf22d8b5966}, issn = {1066-8888}, issue = {6}, journal = {The VLDB Journal}, keyword = {Computer Science}, pages = {849-875}, publisher = {Springer}, title = {The social bookmark and publication management system bibsonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, volume = 19, year = 2010 } @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.}, address = {Berlin / Heidelberg}, affiliation = {Knowledge & Data Engineering Group, Research Center for Information Systems Design, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Mitzlaff, Folke and Schmitz, Christoph and Stumme, Gerd}, doi = {10.1007/s00778-010-0208-4}, interhash = {57fe43734b18909a24bf5bf6608d2a09}, intrahash = {c72ed831e0d752eb3613f90e45c71c44}, issn = {1066-8888}, journal = {The VLDB Journal}, keyword = {Computer Science}, number = 6, pages = {849-875}, publisher = {Springer}, title = {The social bookmark and publication management system bibsonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, volume = 19, year = 2010 } @article{noy2008challenge, abstract = {The great success of Web 2.0 is mainly fuelled by an infrastructure that allows web users to create, share, tag, and connect content and knowledge easily. The tools for developing structured knowledge in this manner have started to appear as well. However, there are few, if any, user studies that are aimed at understanding what users expect from such tools, what works and what doesn't. We organized the Collaborative Knowledge Construction (CKC) Challenge to assess the state of the art for the tools that support collaborative processes for creation of various forms of structured knowledge. The goal of the Challenge was to get users to try out different tools and to learn what users expect from such tools-features that users need, features that they like or dislike. The Challenge task was to construct structured knowledge for a portal that would provide information about research. The Challenge design contained several incentives for users to participate. Forty-nine users registered for the Challenge; thirty-three of them participated actively by using the tools. We collected extensive feedback from the users where they discussed their thoughts on all the tools that they tried. In this paper, we present the results of the Challenge, discuss the features that users expect from tools for collaborative knowledge constructions, the features on which Challenge participants disagreed, and the lessons that we learned.}, author = {Noy, N F and Chugh, A and Alani, H}, doi = {10.1109/MIS.2008.14}, interhash = {df2e2abfd18d3b415d4b6a7cac970286}, intrahash = {98dcb79390913054e6255e605223f4b2}, journal = {IEEE Intell Syst}, month = {1}, number = 1, pages = {64-68}, pmid = {24683367}, title = {The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction}, url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966208/}, volume = 23, year = 2008 } @article{sun2013social, author = {Sun, Xiaoling and Kaur, Jasleen and Milojevic, Stasa and Flammini, Alessandro and Menczer, Filippo}, comment = {10.1038/srep01069}, interhash = {5cd31392e997555d78596f962044f84b}, intrahash = {ed28353b082f3ccbd23ea85ea9d7c8e5}, journal = {Sci. Rep.}, month = jan, publisher = {Macmillan Publishers Limited. All rights reserved}, title = {Social Dynamics of Science}, url = {http://dx.doi.org/10.1038/srep01069}, volume = 3, year = 2013 } @article{sun2013social, author = {Sun, Xiaoling and Kaur, Jasleen and Milojevic, Stasa and Flammini, Alessandro and Menczer, Filippo}, comment = {10.1038/srep01069}, interhash = {5cd31392e997555d78596f962044f84b}, intrahash = {ed28353b082f3ccbd23ea85ea9d7c8e5}, journal = {Sci. Rep.}, month = jan, publisher = {Macmillan Publishers Limited. All rights reserved}, title = {Social Dynamics of Science}, url = {http://dx.doi.org/10.1038/srep01069}, volume = 3, year = 2013 } @article{lerch2010datenschutz, author = {Lerch, Hana and Krause, Beate and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, interhash = {bbe328f35326b84db30c14648c176384}, intrahash = {fc44b1bdc724bbda45d08e35cba8b0ec}, journal = {MultiMedia und Recht}, pages = {454-458}, title = {Social Bookmarking-Systeme – die unerkannten Datensammler - Ungewollte personenbezogene Datenverabeitung?}, volume = 7, year = 2010 } @article{hotho2010publikationsmanagement, abstract = {Kooperative Verschlagwortungs- bzw. Social-Bookmarking-Systeme wie Delicious, Mister Wong oder auch unser eigenes System BibSonomy erfreuen sich immer größerer Beliebtheit und bilden einen zentralen Bestandteil des heutigen Web 2.0. In solchen Systemen erstellen Nutzer leichtgewichtige Begriffssysteme, sogenannte Folksonomies, die die Nutzerdaten strukturieren. Die einfache Bedienbarkeit, die Allgegenwärtigkeit, die ständige Verfügbarkeit, aber auch die Möglichkeit, Gleichgesinnte spontan in solchen Systemen zu entdecken oder sie schlicht als Informationsquelle zu nutzen, sind Gründe für ihren gegenwärtigen Erfolg. Der Artikel führt den Begriff Social Bookmarking ein und diskutiert zentrale Elemente wie Browsing und Suche am Beispiel von BibSonomy anhand typischer Arbeitsabläufe eines Wissenschaftlers. Wir beschreiben die Architektur von BibSonomy sowie Wege der Integration und Vernetzung von BibSonomy mit Content-Management-Systemen und Webauftritten. Der Artikel schließt mit Querbezügen zu aktuellen Forschungsfragen im Bereich Social Bookmarking.}, author = {Hotho, Andreas and Benz, Dominik and Eisterlehner, Folke and Jäschke, Robert and Krause, Beate and Schmitz, Christoph and Stumme, Gerd}, editor = {Hengartner, Urs and Meier, Andreas}, interhash = {c19880489182c86e1573a2ac983c7cff}, intrahash = {422096948d4de38a725b428be3222d60}, issn = {1436-3011}, journal = {HMD - Praxis der Wirtschaftsinformatik}, month = feb, pages = {47--58}, publisher = {dpunkt.verlag}, title = {Publikationsmanagement mit BibSonomy - ein Social-Bookmarking-System für Wissenschaftler}, url = {http://hmd.dpunkt.de/271/05.php}, volume = 271, year = 2010 } @article{steenweg2010publikationsmanagement, abstract = {An den Hochschulen kommt der Förderung einer zeitgemäßen Publikationsumgebung steigende Bedeutung zu. Die Interessenlage ist vielschichtig. Autoren möchten eine komfortable Arbeitsumgebung, die Hochschulpräsidien benötigen Forschungsinformationen und die Bibliotheken wollen passende Informationsinfrastrukturen bereitzustellen. An der Universität Kassel wurde ausgehend vom Bedürfnis des wissenschaftlichen Autors in einem Pilotprojekt (PUMA) versucht, diese Interessen zu einem Publikationsmanagement zu vereinbaren. Für den Autor wird in PUMA bei deutlich geringerem Einsatz ein erheblicher Mehrwert dadurch generiert, dass bei nur einmaligen Anmelden mit dem Bibliotheks-Account ein Social-Bookmarking-System (BibSonomy) zur Verfügung steht, automatisiert Informationen an den Forschungsbericht weitergegeben, Metadaten und Dateien in Repositorien gestellt und Schriftenverzeichnisse (Curriculum Vitae) für Homepages etc. erstellt werden können.}, author = {Steenweg, Helge}, interhash = {f7b1d913b85a3d4b5ae1256c77ffa9e5}, intrahash = {bca65ebab3f638fae16a46620c4fb08a}, journal = {ABI-Technik}, number = 2, pages = {130-138.}, title = {Publikationsmanagement - eine wichtige zukünftige Aufgabe an Hochschulen. Wie sind Forschungsbericht, Institutional Repository und die Interessen des wissenschaftlichen Autors vereinbar? - Das Projekt PUMA}, volume = 30, year = 2010 } @proceedings{conf/recsys/2013rsweb, booktitle = {RSWeb@RecSys}, editor = {Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Freyne, Jill and Hotho, Andreas and Anand, Sarabjot Singh and Guy, Ido}, ee = {http://ceur-ws.org/Vol-1066}, interhash = {31e724c09d1f4a4bbf013ecb8e1f6685}, intrahash = {aca768068f09003e97b51d48ec092ddc}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013.}, url = {http://ceur-ws.org/Vol-1066}, volume = 1066, year = 2013 } @inproceedings{heckner2009personal, address = {San Jose, CA, USA}, author = {Heckner, Markus and Heilemann, Michael and Wolff, Christian}, booktitle = {Int'l AAAI Conference on Weblogs and Social Media (ICWSM)}, interhash = {f954e699dc6ca2d0abbe5f6ebe166dc7}, intrahash = {d1074484ea350ad88400fe4fc6984874}, month = may, title = {Personal Information Management vs. Resource Sharing: Towards a Model of Information Behaviour in Social Tagging Systems}, year = 2009 } @inproceedings{anagnostopoulos2011authority, author = {Anagnostopoulos, Aris and Brova, George and Terzi, Evimaria}, booktitle = {Proceedings of the ECML/PKDD 2011}, interhash = {4b69d0de5d0c542404c9eb387abb0ac2}, intrahash = {eb4553d07c2975a62fff33e92646a7df}, title = {Peer and Authority Pressure in Information-Propagation Models}, year = 2011 } @inproceedings{jaeschke2007organizing, address = {Banff, Canada}, author = {Jäschke, Robert and Grahl, Miranda and Hotho, Andreas and Krause, Beate and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007}, editor = {Alani, Harith and Noy, Natasha and Stumme, Gerd and Mika, Peter and Sure, York and Vrandecic, Denny}, interhash = {3fb8454b742da78867511789ff985719}, intrahash = {b3a5e9851647ca0a7dfb62f041872504}, title = {Organizing Publications and Bookmarks in BibSonomy}, url = {http://www2007.org/workshops/paper_25.pdf}, year = 2007 } @inproceedings{jaeschke2007organizing, address = {Banff, Canada}, author = {Jäschke, Robert and Grahl, Miranda and Hotho, Andreas and Krause, Beate and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007}, editor = {Alani, Harith and Noy, Natasha and Stumme, Gerd and Mika, Peter and Sure, York and Vrandecic, Denny}, interhash = {3fb8454b742da78867511789ff985719}, intrahash = {b3a5e9851647ca0a7dfb62f041872504}, title = {Organizing Publications and Bookmarks in BibSonomy}, url = {http://www2007.org/workshops/paper_25.pdf}, year = 2007 } @techreport{doerfel2014course, abstract = {Social tagging systems have established themselves as an important part in today's web and have attracted the interest from our research community in a variety of investigations. The overall vision of our community is that simply through interactions with the system, i.e., through tagging and sharing of resources, users would contribute to building useful semantic structures as well as resource indexes using uncontrolled vocabulary not only due to the easy-to-use mechanics. Henceforth, a variety of assumptions about social tagging systems have emerged, yet testing them has been difficult due to the absence of suitable data. In this work we thoroughly investigate three available assumptions - e.g., is a tagging system really social? - by examining live log data gathered from the real-world public social tagging system BibSonomy. Our empirical results indicate that while some of these assumptions hold to a certain extent, other assumptions need to be reflected and viewed in a very critical light. Our observations have implications for the design of future search and other algorithms to better reflect the actual user behavior.}, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, interhash = {65f287480af20fc407f7d26677f17b72}, intrahash = {e360f0bd207806e72305efe16491ebe3}, note = {cite arxiv:1401.0629}, title = {Of course we share! Testing Assumptions about Social Tagging Systems}, url = {http://arxiv.org/abs/1401.0629}, year = 2014 } @article{borrego2012measuring, abstract = {This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysis and transaction logs) to measure the use of scholarly information. We use BibSonomy, a free resource-sharing system, as a case study. Results show that published journal articles are by far the most popular type of source bookmarked, followed by conference proceedings and books. Commercial journal publisher platforms are the most popular type of information resource bookmarked, followed by websites, records in databases and digital repositories. Usage of open access information resources is low in comparison with toll access journals. In the case of open access repositories, there is a marked preference for the use of subject-based repositories over institutional repositories. The results are consistent with those observed in related studies based on surveys and citation analysis, confirming the possible use of bookmarking data in studies of information behaviour in academic settings. The main advantages of using social bookmarking data are that is an unobtrusive approach, it captures the reading habits of researchers who are not necessarily authors, and data are readily available. The main limitation is that a significant amount of human resources is required in cleaning and standardizing the data.}, author = {Borrego, Ángel and Fry, Jenny}, doi = {10.1177/0165551512438353}, eprint = {http://jis.sagepub.com/content/38/3/297.full.pdf+html}, interhash = {71ddfdd5b3d99b1a2986b4ded5e02b3c}, intrahash = {e5ccbb3378eeb88e7288d8ce59539812}, journal = {Journal of Information Science}, number = 3, pages = {297--308}, title = {Measuring researchers' use of scholarly information through social bookmarking data: A case study of BibSonomy}, url = {http://jis.sagepub.com/content/38/3/297.abstract}, volume = 38, year = 2012 } @article{borrego2012measuring, abstract = {This paper explores the possibility of using data from social bookmarking services to measure the use of information by academic researchers. Social bookmarking data can be used to augment participative methods (e.g. interviews and surveys) and other, non-participative methods (e.g. citation analysis and transaction logs) to measure the use of scholarly information. We use BibSonomy, a free resource-sharing system, as a case study. Results show that published journal articles are by far the most popular type of source bookmarked, followed by conference proceedings and books. Commercial journal publisher platforms are the most popular type of information resource bookmarked, followed by websites, records in databases and digital repositories. Usage of open access information resources is low in comparison with toll access journals. In the case of open access repositories, there is a marked preference for the use of subject-based repositories over institutional repositories. The results are consistent with those observed in related studies based on surveys and citation analysis, confirming the possible use of bookmarking data in studies of information behaviour in academic settings. The main advantages of using social bookmarking data are that is an unobtrusive approach, it captures the reading habits of researchers who are not necessarily authors, and data are readily available. The main limitation is that a significant amount of human resources is required in cleaning and standardizing the data.}, author = {Borrego, Ángel and Fry, Jenny}, doi = {10.1177/0165551512438353}, eprint = {http://jis.sagepub.com/content/38/3/297.full.pdf+html}, interhash = {71ddfdd5b3d99b1a2986b4ded5e02b3c}, intrahash = {e5ccbb3378eeb88e7288d8ce59539812}, journal = {Journal of Information Science}, number = 3, pages = {297--308}, title = {Measuring researchers' use of scholarly information through social bookmarking data: A case study of BibSonomy}, url = {http://jis.sagepub.com/content/38/3/297.abstract}, volume = 38, year = 2012 } @inproceedings{benz2009managing, abstract = {In this demo we present BibSonomy, a social bookmark and publication sharing system.}, address = {New York, NY, USA}, author = {Benz, Dominik and Eisterlehner, Folke and Hotho, Andreas and Jäschke, Robert and Krause, Beate and Stumme, Gerd}, booktitle = {HT '09: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia}, doi = {10.1145/1557914.1557969}, editor = {Cattuto, Ciro and Ruffo, Giancarlo and Menczer, Filippo}, file = {benz2009managing.pdf:benz2009managing.pdf:PDF}, interhash = {aa341801cf9a31d963fccb8a331043dc}, intrahash = {99cafad8ce2afb5879c6c85c14cc5259}, isbn = {978-1-60558-486-7}, month = jun, pages = {323--324}, publisher = {ACM}, title = {Managing publications and bookmarks with BibSonomy}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009managing.pdf}, year = 2009 } @inproceedings{hotho06-information, abstract = {Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.}, ad_pdf = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf}, address = {Heidelberg}, author = {Hotho, Andreas and J�schke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {The Semantic Web: Research and Applications}, editor = {Sure, York and Domingue, John}, interhash = {aa0a40dd836bfde8397409adfdc4a3f2}, intrahash = {b1e4dabc5b558aeea1b839a7f123eef1}, lastdatemodified = {2006-07-18}, lastname = {Hotho}, month = {June}, own = {own}, pages = {411-426}, pdf = {hotho06-information.pdf}, publisher = {Springer}, read = {read}, series = {LNAI}, title = {Information Retrieval in Folksonomies: Search and Ranking}, url = {http://.kde.cs.uni-kassel.de/hotho}, volume = 4011, year = 2006 } @inproceedings{singer2015hyptrails, address = {Firenze, Italy}, author = {Singer, P. and Helic, D. and Hotho, A. and Strohmaier, M.}, booktitle = {24th International World Wide Web Conference (WWW2015)}, interhash = {d33e150aa37dcd618388960286f8a46a}, intrahash = {5d21e53dc91b35a4a6cb6b9ec858045d}, month = {May 18 - May 22}, organization = {ACM}, publisher = {ACM}, title = {Hyptrails: A bayesian approach for comparing hypotheses about human trails}, url = {http://www.www2015.it/documents/proceedings/proceedings/p1003.pdf}, year = 2015 } @phdthesis{jschke2011formal, address = {[Amsterdam]}, author = {Jäschke, Robert}, interhash = {dcb2cd1cd72ae45d77c4d8755d199405}, intrahash = {1ac91a922a872523de0ce8d4984e53a3}, isbn = {9781607507079 1607507072 9783898383325 3898383326}, pages = {--}, publisher = {IOS Press}, refid = {707172013}, title = {Formal concept analysis and tag recommendations in collaborative tagging systems}, url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9783898383325}, year = 2011 } @inproceedings{doerfel2014evaluating, author = {Doerfel, Stephan and Zoller, Daniel and Singer, Philipp and Niebler, Thomas and Hotho, Andreas and Strohmaier, Markus}, bibsource = {dblp computer science bibliography, http://dblp.org}, booktitle = {Proceedings of the 16th {LWA} Workshops: KDML, {IR} and FGWM, Aachen, Germany, September 8-10, 2014.}, editor = {Seidl, Thomas and Hassani, Marwan and Beecks, Christian}, interhash = {955cd7c6f7652b7c531b699464925b1f}, intrahash = {4b2e73c82b5a84e1959ad66aaad4a235}, pages = {18--19}, publisher = {CEUR-WS.org}, title = {Evaluating Assumptions about Social Tagging - {A} Study of User Behavior in BibSonomy}, url = {http://ceur-ws.org/Vol-1226/paper06.pdf}, year = 2014 } @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{jaeschke08discovering, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, interhash = {cfca594f9dbe30694bfbcdeb40dc4e88}, intrahash = {eb0bdaeab0aa5d4c528c97e2b10770b9}, journal = {Journal of Web Semantics}, number = 1, pages = {38-53}, title = {Discovering Shared Conceptualizations in Folksonomies}, url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, volume = 6, year = 2008 } @article{journals/insk/KrauseLHRS12, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, ee = {http://dx.doi.org/10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {df97de393d3421ef2e20384ddde16ab1}, journal = {Informatik Spektrum}, number = 1, pages = {12-23}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy.}, url = {http://dblp.uni-trier.de/db/journals/insk/insk35.html#KrauseLHRS12}, volume = 35, year = 2012 } @article{journals/insk/KrauseLHRS12, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, ee = {http://dx.doi.org/10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {df97de393d3421ef2e20384ddde16ab1}, journal = {Informatik Spektrum}, number = 1, pages = {12-23}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy.}, url = {http://dblp.uni-trier.de/db/journals/insk/insk35.html#KrauseLHRS12}, volume = 35, year = 2012 } @article{noKey, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung. }, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {312a16fb92f6f1bc176ef917018d350c}, issn = {0170-6012}, journal = {Informatik-Spektrum}, language = {German}, number = 1, pages = {12-23}, publisher = {Springer-Verlag}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, volume = 35, year = 2012 } @article{noKey, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung. }, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {312a16fb92f6f1bc176ef917018d350c}, issn = {0170-6012}, journal = {Informatik-Spektrum}, language = {German}, number = 1, pages = {12-23}, publisher = {Springer-Verlag}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, volume = 35, year = 2012 } @article{noKey, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung. }, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {312a16fb92f6f1bc176ef917018d350c}, issn = {0170-6012}, journal = {Informatik-Spektrum}, language = {German}, number = 1, pages = {12-23}, publisher = {Springer-Verlag}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, volume = 35, year = 2012 } @article{noKey, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung. }, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {3fca17b13ee1c002f41d3a2a4594b3e2}, intrahash = {312a16fb92f6f1bc176ef917018d350c}, issn = {0170-6012}, journal = {Informatik-Spektrum}, language = {German}, number = 1, pages = {12-23}, publisher = {Springer-Verlag}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, volume = 35, year = 2012 } @article{springerlink:10.1007/s00287-010-0485-8, abstract = {Soziale Tagging-Systeme gehören zu den in den vergangenen Jahren entstandenen Web2.0-Systemen. Sie ermöglichen es Anwendern, beliebige Informationen in das Internet einzustellen und untereinander auszutauschen. Je nach Anbieter verlinken Nutzer Videos, Fotos oder Webseiten und beschreiben die eingestellten Medien mit entsprechenden Schlagwörtern (Tags). Die damit einhergehende freiwillige Preisgabe oftmals persönlicher Informationen wirft Fragen im Bereich der informationellen Selbstbestimmung auf. Dieses Grundrecht gewährleistet dem Einzelnen, grundsätzlich selbst über die Preisgabe und Verwendung seiner persönlichen Daten zu bestimmen. Für viele Funktionalitäten, wie beispielsweise Empfehlungsdienste oder die Bereitstellung einer API, ist eine solche Kontrolle allerdings schwierig zu gestalten. Oftmals existieren keine Richtlinien, inwieweit Dienstanbieter und weitere Dritte diese öffentlichen Daten (und weitere Daten, die bei der Nutzung des Systems anfallen) nutzen dürfen. Dieser Artikel diskutiert anhand eines konkreten Systems typische, für den Datenschutz relevante Funktionalitäten und gibt Handlungsanweisungen für eine datenschutzkonforme technische Gestaltung.}, address = {Berlin / Heidelberg}, affiliation = {Fachgebiet Wissensverarbeitung, Universität Kassel, Kassel, Deutschland}, author = {Krause, Beate and Lerch, Hana and Hotho, Andreas and Roßnagel, Alexander and Stumme, Gerd}, doi = {10.1007/s00287-010-0485-8}, interhash = {dc30e162dbb8700abdde78f86037cf2e}, intrahash = {69f3738deecd73594907183aa874ec1a}, issn = {0170-6012}, journal = {Informatik-Spektrum}, keyword = {Computer Science}, pages = {1-12}, publisher = {Springer}, title = {Datenschutz im Web 2.0 am Beispiel des sozialen Tagging-Systems BibSonomy}, url = {http://dx.doi.org/10.1007/s00287-010-0485-8}, year = 2010 } @inproceedings{mitzlaff2010community, abstract = {Community mining is a prominent approach for identifying (user) communities in social and ubiquitous contexts. While there are a variety of methods for community mining and detection, the effective evaluation and validation of the mined communities is usually non-trivial. Often there is no evaluation data at hand in order to validate the discovered groups. This paper proposes evidence networks using implicit information for the evaluation of communities. The presented evaluation approach is based on the idea of reconstructing existing social structures for the assessment and evaluation of a given clustering. We analyze and compare the presented evidence networks using user data from the real-world social bookmarking application BibSonomy. The results indicate that the evidence networks reflect the relative rating of the explicit ones very well.}, address = {Barcelona, Spain}, author = {Mitzlaff, Folke and Atzmüller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the Workshop on Mining Ubiquitous and Social Environments (MUSE2010)}, interhash = {75fbc00000a1bd7ca5f93ca1d24d62c5}, intrahash = {34d79867b23f41ca2e9f481ee894630f}, title = {Community Assessment using Evidence Networks}, url = {http://www.kde.cs.uni-kassel.de/ws/muse2010}, year = 2010 } @misc{cao07casestudy, author = {Cao, Yiwei and Ehms, Karsten and Fiedler, Sebastian and Hofer, Margit and Kaiamo, Anna-Kaarina and Kieslinger, Barbara and Klamma, Ralf and Krause, Beate and Kravcik, Milos and Ryyppö, Tommi and Spaniol, Marc and Stumme, Gerd and Wild, Fridolin}, interhash = {96bc6617b9a6260a1bef2403d762f383}, intrahash = {5dc735281a6be72a54186018e0166740}, note = {Deliverable 15.2, European Network of Excellence ``Prolearn - Professional E-Learning''}, title = {Case study on social software use in distributed working environments}, url = {http://www.prolearn-project.org/deliverables/view?id=1432}, year = 2007 } @inproceedings{hotho2006bibsonomy, 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 and briefly describe our own system BibSonomy, which allows for sharing both bookmarksand publication references in a kind of personal library.}, address = {Aalborg}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures}, editor = {de Moor, Aldo and Polovina, Simon and Delugach, Harry}, file = {hotho2006bibsonomy.pdf:hotho2006bibsonomy.pdf:PDF}, interhash = {d28c9f535d0f24eadb9d342168836199}, intrahash = {5854a71547051543dd3d3d5e2e2f2b67}, isbn = {87-7307-769-0}, pages = {87-102}, publisher = {Aalborg Universitetsforlag}, title = {{BibSonomy}: A Social Bookmark and Publication Sharing System}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006bibsonomy.pdf}, year = 2006 } @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. }, author = {Haustein, Stefanie and Siebenlist, Tobias}, doi = {http://dx.doi.org/10.1016/j.joi.2011.04.002}, interhash = {13fe59aae3d6ef95b529ffe00ede4126}, intrahash = {c3e49ee7b0ed81ecd126d3ef76d5f407}, issn = {1751-1577}, journal = {Journal of Informetrics }, number = 3, pages = {446 - 457}, title = {Applying social bookmarking data to evaluate journal usage }, url = {http://www.sciencedirect.com/science/article/pii/S1751157711000393}, volume = 5, year = 2011 } @inproceedings{jaeschke2007analysis, abstract = {BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.}, address = {Berlin, Heidelberg}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)}, editor = {Priss, U. and Polovina, S. and Hill, R.}, interhash = {4352d1142afa561460511b22d4ce5103}, intrahash = {0c2b212b9ea3d822bf4729fd5fe6b6e1}, isbn = {3-540-73680-8}, month = {July}, pages = {283--295}, publisher = {Springer-Verlag}, series = {Lecture Notes in Artificial Intelligence}, title = {Analysis of the Publication Sharing Behaviour in {BibSonomy}}, volume = 4604, year = 2007 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {a73213a865503252caa4b28e88a77108}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An Analysis of Tag-Recommender Evaluation Procedures}, url = {http://doi.acm.org/10.1145/2507157.2507222}, year = 2013 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {aa4b3d79a362d7415aaa77625b590dfa}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An analysis of tag-recommender evaluation procedures}, url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2013analysis.pdf}, year = 2013 } @inproceedings{doerfel2013analysis, abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.}, acmid = {2507222}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert}, booktitle = {Proceedings of the 7th ACM conference on Recommender systems}, doi = {10.1145/2507157.2507222}, interhash = {3eaf2beb1cdad39b7c5735a82c3338dd}, intrahash = {a73213a865503252caa4b28e88a77108}, isbn = {978-1-4503-2409-0}, location = {Hong Kong, China}, numpages = {4}, pages = {343--346}, publisher = {ACM}, series = {RecSys '13}, title = {An Analysis of Tag-Recommender Evaluation Procedures}, url = {http://doi.acm.org/10.1145/2507157.2507222}, year = 2013 } @incollection{benz2010academic, abstract = {The PUMA project fosters the Open Access movement und aims at a better support of the researcher’s publication work. PUMA stands for an integrated solution, where the upload of a publication results automatically in an update of both the personal and institutional homepage, the creation of an entry in a social bookmarking systems like BibSonomy, an entry in the academic reporting system of the university, and its publication in the institutional repository. In this poster, we present the main features of our solution.}, author = {Benz, Dominik and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd and Halle, Axel and Gerlach Sanches Lima, Angela and Steenweg, Helge and Stefani, Sven}, booktitle = {Research and Advanced Technology for Digital Libraries}, doi = {10.1007/978-3-642-15464-5_46}, editor = {Lalmas, Mounia and Jose, Joemon and Rauber, Andreas and Sebastiani, Fabrizio and Frommholz, Ingo}, interhash = {db94bafecb815048ede11f6d28e5a9f1}, intrahash = {5711a3b7425fbae328bf0e755defb7dc}, isbn = {978-3-642-15463-8}, pages = {417-420}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, title = {Academic Publication Management with PUMA – Collect, Organize and Share Publications}, url = {http://dx.doi.org/10.1007/978-3-642-15464-5_46}, volume = 6273, year = 2010 }