@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.}, 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.}, 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 } @inproceedings{grahl07conceptualKdml, author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd}, booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)}, editor = {Hinneburg, Alexander}, interhash = {9c3bb05456bf11bcd88a1135de51f7d9}, intrahash = {6d5188d66564fe4ed7386e28868504de}, isbn = {978-3-86010-907-6}, month = sep, pages = {50-54}, publisher = {Martin-Luther-Universität Halle-Wittenberg}, title = {Conceptual Clustering of Social Bookmark Sites}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}, vgwort = {14}, year = 2007 } @inproceedings{takano1998dynamic, abstract = {This paper describes a management tool to support revisiting WWW pages, which we call “WWW Dynamic Bookmark (WDB).�? WDB watches and archives a user’s navigation behavior, analyses the archive, and shows analyzed results as clues for revisiting URLs. We have integrated link analysis and user behavior analysis to evaluate WWW page importance. WDB presents a list of sites that a user has visited, in importance order, via a landmark list in each site, and showing relationships among sites. Experimental implementation shows that importance calculation and structure displays help users to pick up useful URLs.}, address = {New York, NY, USA}, author = {Takano, Hajime and Winograd, Terry}, booktitle = {HYPERTEXT '98: Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems}, file = {takano1998dynamic.pdf:takano1998dynamic.pdf:PDF}, interhash = {ee36d0006bdf2300dff4b6b21aa2f231}, intrahash = {f909bc2f43cc4a7e86d5b675944e24fd}, lastdatemodified = {2005-08-06}, lastname = {Takano}, own = {own}, pages = {297--298}, pdf = {takano98.pdf}, publisher = {ACM Press}, read = {notread}, title = {Dynamic bookmarks for the WWW}, url = {doi.acm.org/10.1145/276627.276667}, year = 1998 } @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{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}, 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 = {5d9541d5e8470a1867d995d3e0514697}, issn = {1066-8888}, journal = {The VLDB Journal}, publisher = {Springer}, title = {The social bookmark and publication management system BibSonomy}, url = {http://dx.doi.org/10.1007/s00778-010-0208-4}, year = 2010 } @inproceedings{hotho2006bibsonomy, 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. In this paper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarks and 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}, 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 } @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}, 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://portal.acm.org/citation.cfm?doid=1557914.1557969#}, year = 2009 } @inproceedings{grahl2007clustering, abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.}, address = {Graz, Austria}, author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd}, booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)}, interhash = {5cf58d2fdd3c17f0b0c54ce098ff5b60}, intrahash = {334d3ab11400c4a3ea3ed5b1e95c1855}, issn = {0948-695x}, month = sep, pages = {356-364}, publisher = {Know-Center}, title = {Conceptual Clustering of Social Bookmarking Sites}, url = {/brokenurl#www.tagora-project.eu/wp-content/2007/06/grahl_iknow07.pdf}, vgwort = {14}, year = 2007 } @article{jaeschke2008tag, abstract = {Collaborative tagging systems allow users to assign keywords - so called "tags" - to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied. In this paper we evaluate and compare several recommendation algorithms on large-scale real life datasets: an adaptation of user-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurences. We show that both FolkRank and Collaborative Filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender. }, address = {Amsterdam}, author = {Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd}, doi = {10.3233/AIC-2008-0438}, editor = {Giunchiglia, Enrico}, interhash = {b2f1aba6829affc85d852ea93a8e39f7}, intrahash = {955bcf14f3272ba6eaf3dadbef6c0b10}, issn = {0921-7126}, journal = {AI Communications}, number = 4, pages = {231-247}, publisher = {IOS Press}, title = {Tag Recommendations in Social Bookmarking Systems}, url = {http://dx.doi.org/10.3233/AIC-2008-0438}, vgwort = {63}, volume = 21, year = 2008 } @inproceedings{grahl07conceptualKdml, author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd}, booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)}, editor = {Hinneburg, Alexander}, interhash = {9c3bb05456bf11bcd88a1135de51f7d9}, intrahash = {6d5188d66564fe4ed7386e28868504de}, isbn = {978-3-86010-907-6}, month = sep, pages = {50-54}, publisher = {Martin-Luther-Universität Halle-Wittenberg}, title = {Conceptual Clustering of Social Bookmark Sites}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}, vgwort = {14}, year = 2007 } @inproceedings{cattuto2008semantic, abstract = {Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. For tasks like synonym detection and discovery of concept hierarchies, many researchers introduced measures of tag similarity. Eventhough most of these measures appear very natural, their design often seems to be rather ad hoc, and the underlying assumptionson the notion of similarity are not made explicit. A more systematic characterization and validation of tag similarity interms of formal representations of knowledge is still lacking. Here we address this issue and analyze several measures oftag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding isprovided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measuresof semantic distance to characterize the semantic relation between the mapped tags. This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.}, address = {Berlin/Heidelberg}, author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, booktitle = {The Semantic Web -- ISWC 2008}, doi = {10.1007/978-3-540-88564-1_39}, editor = {Sheth, Amit P. and Staab, Steffen and Dean, Mike and Paolucci, Massimo and Maynard, Diana and Finin, Timothy W. and Thirunarayan, Krishnaprasad}, interhash = {b44538648cfd476d6c94e30bc6626c86}, intrahash = {466f25c93d5e9c13ca5689191ef711ee}, isbn = {978-3-540-88563-4}, pages = {615--631}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Semantic Grounding of Tag Relatedness in Social Bookmarking Systems}, url = {http://cxnets.googlepages.com/cattuto_iswc2008.pdf}, volume = 5318, year = 2008 } @article{april05lund, author = {Lund, Ben and Hammond, Tony and Flack, Martin and Hannay, Timo}, doi = {10.1045/april2005-lund}, interhash = {46c0a98ab6ccb96ff4722f35781807de}, intrahash = {13958ef5da2d2133b9b84e9a3cb40da1}, issn = {1082-9873}, journal = {D-Lib Magazine}, month = {April }, number = 4, title = {Social Bookmarking Tools (II): A Case Study - Connotea}, url = {http://www.dlib.org/dlib/april05/lund/04lund.html}, volume = 11, year = 2005 } @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 }