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  • × theme_ss:"Social tagging"
  1. Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008) 0.01
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    Date
    21. 6.2009 9:55:29
    Pages
    S.15-22
  2. Niemann, C.: Tag-Science : Ein Analysemodell zur Nutzbarkeit von Tagging-Daten (2011) 0.01
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    Date
    29. 5.2012 13:58:08
    29. 5.2012 14:15:36
    Source
    ¬Die Kraft der digitalen Unordnung: 32. Arbeits- und Fortbildungstagung der ASpB e. V., Sektion 5 im Deutschen Bibliotheksverband, 22.-25. September 2009 in der Universität Karlsruhe. Hrsg: Jadwiga Warmbrunn u.a
  3. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.00
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    Date
    20. 2.2009 10:29:07
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  4. Heckner, M.; Mühlbacher, S.; Wolff, C.: Tagging tagging : a classification model for user keywords in scientific bibliography management systems (2007) 0.00
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    Abstract
    Recently, a growing amount of systems that allow personal content annotation (tagging) are being created, ranging from personal sites for organising bookmarks (del.icio.us), photos (flickr.com) or videos (video.google.com, youtube.com) to systems for managing bibliographies for scientific research projects (citeulike.org, connotea.org). Simultaneously, a debate on the pro and cons of allowing users to add personal keywords to digital content has arisen. One recurrent point-of-discussion is whether tagging can solve the well-known vocabulary problem: In order to support successful retrieval in complex environments, it is necessary to index an object with a variety of aliases (cf. Furnas 1987). In this spirit, social tagging enhances the pool of rigid, traditional keywording by adding user-created retrieval vocabularies. Furthermore, tagging goes beyond simple personal content-based keywords by providing meta-keywords like funny or interesting that "identify qualities or characteristics" (Golder and Huberman 2006, Kipp and Campbell 2006, Kipp 2007, Feinberg 2006, Kroski 2005). Contrarily, tagging systems are claimed to lead to semantic difficulties that may hinder the precision and recall of tagging systems (e.g. the polysemy problem, cf. Marlow 2006, Lakoff 2005, Golder and Huberman 2006). Empirical research on social tagging is still rare and mostly from a computer linguistics or librarian point-of-view (Voß 2007) which focus either on the automatic statistical analyses of large data sets, or intellectually inspect single cases of tag usage: Some scientists studied the evolution of tag vocabularies and tag distribution in specific systems (Golder and Huberman 2006, Hammond 2005). Others concentrate on tagging behaviour and tagger characteristics in collaborative systems. (Hammond 2005, Kipp and Campbell 2007, Feinberg 2006, Sen 2006). However, little research has been conducted on the functional and linguistic characteristics of tags.1 An analysis of these patterns could show differences between user wording and conventional keywording. In order to provide a reasonable basis for comparison, a classification system for existing tags is needed.
  5. Peters, I.: Folksonomies und kollaborative Informationsdienste : eine Alternative zur Websuche? (2011) 0.00
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    Pages
    S.29-53
  6. Evedove Tartarotti, R. Dal'; Lopes Fujita, M.: ¬The perspective of social indexing in online bibliographic catalogs : between the individual and the collaborative (2016) 0.00
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    Source
    Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei
  7. Hammond, T.; Hannay, T.; Lund, B.; Flack, M.: Social bookmarking tools (II) : a case study - Connotea (2005) 0.00
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    Abstract
    Connotea is a free online reference management and social bookmarking service for scientists created by Nature Publishing Group. While somewhat experimental in nature, Connotea already has a large and growing number of users, and is a real, fully functioning service. The label 'experimental' is not meant to imply that the service is any way ephemeral or esoteric, rather that the concept of social bookmarking itself and the application of that concept to reference management are both recent developments. Connotea is under active development, and we are still in the process of discovering how people will use it. In addition to Connotea being a free and public service, the core code is freely available under an open source license. Connotea was conceived from the outset as an online, social tool. Seeing the possibilities that del.icio.us was opening up for its users in the area of general web linking, we realised that scholarly reference management was a similar problem space. Connotea was designed and developed late in 2004, and soft-launched at the end of December 2004. Usage has grown over the past several months, to the point where there is now enough data in the system for interesting second-order effects to emerge. This paper will start by giving an overview of Connotea, and will outline the key concepts and describe its main features. We will then take the reader on a brief guided tour, show some of the aforementioned second-order effects, and end with a discussion of Connotea's likely future direction.
  8. Carlin, S.A.: Schlagwortvergabe durch Nutzende (Tagging) als Hilfsmittel zur Suche im Web : Ansatz, Modelle, Realisierungen (2006) 0.00
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    Abstract
    Nach dem zu Beginn der Ära des World Wide Web von Hand gepflegte Linklisten und -Verzeichnisse und an Freunde und Kollegen per E-Mail verschickte Links genügten, um die Informationen zu finden, nach denen man suchte, waren schon bald Volltextsuchmaschinen und halbautomatisch betriebene Kataloge notwendig, um den mehr und mehr anschwellenden Informationsfluten des Web Herr zu werden. Heute bereits sind diese Dämme gebrochen und viele Millionen Websites halten Billionen an Einzelseiten mit Informationen vor, von Datenbanken und anderweitig versteckten Informationen ganz zu schweigen. Mit Volltextsuchmaschinen erreicht man bei dieser Masse keine befriedigenden Ergebnisse mehr. Entweder man erzeugt lange Suchterme mit vielen Ausschließungen und ebenso vielen nicht-exklusiven ODER-Verknüpfungen um verschiedene Schreibweisen für den gleichen Term abzudecken oder man wählt von vornherein die Daten-Quelle, an die man seine Fragen stellt, genau aus. Doch oft bleiben nur klassische Web-Suchmaschinen übrig, zumal wenn der Fragende kein Informationsspezialist mit Kenntnissen von Spezialdatenbanken ist, sondern, von dieser Warte aus gesehenen, ein Laie. Und nicht nur im Web selbst, auch in unternehmensinternen Intranets steht man vor diesem Problem. Tausende von indizierten Dokumente mögen ein Eckdatum sein, nach dem sich der Erfolg der Einführung eines Intranets bemessen lässt, aber eine Aussage über die Nützlichkeit ist damit nicht getroffen. Und die bleibt meist hinter den Erwartungen zurück, vor allem bei denen Mitarbeitern, die tatsächlich mit dem Intranet arbeiten müssen. Entscheidend ist für die Informationsauffindung in Inter- und Intranet eine einfach zu nutzende und leicht anpassbare Möglichkeit, neue interessante Inhalte zu entdecken. Mit Tags steht eine mögliche Lösung bereit.
  9. Hsu, M.-H.; Chen, H.-H.: Efficient and effective prediction of social tags to enhance Web search (2011) 0.00
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    Abstract
    As the web has grown into an integral part of daily life, social annotation has become a popular manner for web users to manage resources. This method of management has many potential applications, but it is limited in applicability by the cold-start problem, especially for new resources on the web. In this article, we study automatic tag prediction for web pages comprehensively and utilize the predicted tags to improve search performance. First, we explore the stabilizing phenomenon of tag usage in a social bookmarking system. Then, we propose a two-stage tag prediction approach, which is efficient and is effective in making use of early annotations from users. In the first stage, content-based ranking, candidate tags are selected and ranked to generate an initial tag list. In the second stage, random-walk re-ranking, we adopt a random-walk model that utilizes tag co-occurrence information to re-rank the initial list. The experimental results show that our algorithm effectively proposes appropriate tags for target web pages. In addition, we present a framework to incorporate tag prediction in a general web search. The experimental results of the web search validate the hypothesis that the proposed framework significantly enhances the typical retrieval model.
  10. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.00
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    Pages
    S.14-22
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  11. Marchitelli, A.; Piazzini, T.: OPAC, SOPAC e social networking : cataloghi di biblioteca 2.0? (2008) 0.00
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    Date
    29. 1.1996 17:18:10
  12. Oudenaar, H.; Bullard, J.: NOT A BOOK : goodreads and the risks of social cataloging with insufficient direction (2024) 0.00
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    Date
    22.11.2023 18:29:56
  13. Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008) 0.00
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    Date
    21. 6.2009 12:22:44
  14. Furner, J.: User tagging of library resources : toward a framework for system evaluation (2007) 0.00
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    Date
    26.12.2011 13:29:31
  15. Corrado, E.; Moulaison, H.L.: Social tagging and communities of practice : two case studies (2008) 0.00
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    Date
    27.12.2008 11:20:29
  16. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.00
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    Date
    1. 8.2010 12:35:22
  17. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.00
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