BibSonomy publications for /tag/bookmarkThu Jan 19 12:34:45 CET 2012Berlin / HeidelbergThe VLDB Journaldec6849--875The Social Bookmark and Publication Management System BibSonomy192010bibsonomy bookmark publication sharing social system 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.Mon Oct 17 11:26:29 CEST 2011Berlin / HeidelbergThe VLDB Journal849-875The social bookmark and publication management system bibsonomy192010BibSonomy Web2.0 bookmark publication social 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.Fri Apr 08 14:49:25 CEST 2011World Wide Web4421-440The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags.122009semantic tagging taxonomy bookmark In this paper, we evaluate the effectiveness of a semantic smoothing technique to organize folksonomy tags. Folksonomy tags have no explicit relations and vary because they form uncontrolled vocabulary. We discriminates so-called subjective tags like “cool�? and “fun�? from folksonomy tags without any extra knowledge other than folksonomy triples and use the level of tag generalization to form the objective tags into a hierarchy.We verify that entropy of folksonomy tags is an effective measure for discriminating subjective folksonomy tags. Our hierarchical tag allocation method guarantees the number of children nodes and increases the number of available paths to a target node compared to an existing tree allocation method for folksonomy tags.Tue Apr 05 13:00:52 CEST 2011The VLDB Journal(to appear)The Social Bookmark and Publication Management System BibSonomy20102010 bibsonomy bookmark management php social Social resource sharing systems are central elements of theWeb 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.Fri Mar 25 18:18:30 CET 2011Proceedings of the IADIS International Conferences Collaborative Technologies 2010 and Web Based Communities 2010July178--182Towards A Multilingual Semantic Folksonomy2010semantic tagging bookmark Tue Feb 08 15:56:03 CET 2011New York, NY, USAProceedings of the SIGCHI conference on Human factors in computing systems41-48Information Archiving with Bookmarks: Personal Web Space Construction and Organization1998studienarbeit information_space bookmark background www 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.Tue Feb 08 15:55:59 CET 2011Atlanta, GA, USAProceedings of the CHI97: Conference on Human Factors in Computing SystemsMarch 22-27How People Use WWW bookmarks1997user_study studienarbeit bookmark informatin_space background www 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.Fri Jan 28 11:34:40 CET 2011New York, NY, USAHYPERTEXT '98: Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems297--298Dynamic bookmarks for the WWW1998studienarbeit widely_related bookmark navigation www user_behaviour_analysis link_analysis 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.Thu Jan 27 09:09:53 CET 2011Berlin / HeidelbergThe VLDB Journaldec6849--875The Social Bookmark and Publication Management System BibSonomy1920102010 bibsonomy bookmark collaborative folksonomy kde management myown publication system tagging top vldb 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.Sat Jan 08 19:44:56 CET 2011Aalborg, DenmarkProceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual StructuresJuly{BibSonomy}: A Social Bookmark and Publication Sharing System2006bibsonomy bookmark social Thu Jan 06 14:48:21 CET 2011IT Professional434-41Understanding Web 2.092007application bookmark tagging zzz.a.it09 paper web blog ieee software newsfeeds v1010 social wiki Web 2.0, the second phase in the Web's evolution, is attracting the attention of IT professionals, businesses, and Web users. Web 2.0 is also called the wisdom Web, people-centric Web, participative Web, and read/write Web. Web 2.0 harnesses the Web in a more interactive and collaborative manner, emphasizing peers' social interaction and collective intelligence, and presents new opportunities for leveraging the Web and engaging its users more effectively. Within the last two to three years, Web 2.0, ignited by successful Web 2.0 based social applications such as MySpace, Flickr, and YouTube, has been forging new applications that were previously unimaginable.Wed Dec 15 11:29:09 CET 2010Berlin / HeidelbergThe VLDB JournalThe social bookmark and publication management system BibSonomy20102010 BibSonomy VLDB VLDBJ bookmark itegpub l3s management myown publication social system 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.Wed Nov 17 22:32:45 CET 2010AalborgProceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures87-102{BibSonomy}: A Social Bookmark and Publication Sharing System2006bibsonomy bookmark folksonomy sharing 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.Mon Nov 08 11:52:23 CET 2010AalborgProceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures87-102{BibSonomy}: A Social Bookmark and Publication Sharing System20062006 BibSonomy bookmark description folksonomy kde reference social system tutorial 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.Mon Nov 08 11:51:13 CET 2010New York, NY, USAHT '09: Proceedings of the 20th ACM Conference on Hypertext and Hypermediajun323--324Managing publications and bookmarks with BibSonomy20092009 BibSonomy bookmark ht09 managing publications social-bookmarking In this demo we present BibSonomy, a social bookmark and publication sharing system.Sun Oct 31 22:43:49 CET 2010KonstanzUTBSocial Web30652008information software bookmark newsfeeds tagging v1010 social book blog wiki management science Wikis, Blogs und Podcasts erm{\"o}glichen in zunehmendem Ma{\ss}e eine Interaktion zwischen den Besuchern einer Website und f{\"u}hren zur Bildung von Gemeinschaften - eine in den Massenmedien bisher nicht erreichte Partizipation. Ausgehend von der Geschichte des Internets und einer Definition des Social Webs werden zun{\"a}chst dessen Erscheinungsformen vorgestellt, verglichen und eingeordnet. Darauf folgt eine Beschreibung der technischen Grundlagen sowie der auftretenden Gruppenprozesse und der gesellschaftlichen Bedeutung. Anja Ebersbach und Markus Glaser sind Informationswissenschaftler und promovieren an der Universit{\"a}t Konstanz. Richard Heigl ist promovierter Historiker und betreibt in Regensburg ein Unternehmen zur Entwicklung von Wikiprojekten.Fri Oct 29 16:56:33 CEST 2010Web Semantics138-53Discovering Shared Conceptualizations in Folksonomies62008software ai bookmark tagging v1010 paper community semantic web ontology Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.Fri Oct 29 16:56:32 CEST 2010AI Communications4231-247Tag Recommendations in Social Bookmarking Systems212008bookmark adaptive test tagging paper community assist interface algorithm ai software v1010 user 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 occurrences. 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.Thu Oct 14 14:45:03 CEST 2010Journal of Computational and Graphical Statistics3299--314{R: A Language for Data Analysis and Graphics}51996analysis bookmark data graphics language Wed Jun 30 10:18:11 CEST 2010Graz, Austria7th International Conference on Knowledge Management (I-KNOW '07)sep356-364Conceptual Clustering of Social Bookmarking Sites2007clustering conceptual sites social bookmark 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.bookmarkCommunity for tag(s) bookmark