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  • × theme_ss:"Social tagging"
  1. Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008) 0.03 
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    Language
    d
    Pages
    S.15-22
  2. Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008) 0.02 
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    Date
    21. 6.2009 12:22:44
    Language
    d
  3. Niemann, C.: Tag-Science : Ein Analysemodell zur Nutzbarkeit von Tagging-Daten (2011) 0.02 
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    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
  4. Sack, H.; Waitelonis, J.: Zeitbezogene kollaborative Annotation zur Verbesserung der inhaltsbasierten Videosuche (2008) 0.02 
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    Abstract
    Social-Tagging-Systeme ermöglichen die Annotation beliebiger Ressourcen mit nutzerbasierten Metadaten. Ressourcen wurden in diesem Zusammenhang stets als Ganzes betrachtet, ohne dass eine differenzierte Annotation einzelner Ressourcen-Fragmente möglich war. Dies fällt insbesondere bei zeitabhängigen Multimediadaten, wie z. B. Videodaten ins Gewicht, da der Nutzer oft nur an einzelnen Szenen einer umfangreichen Videodatei interessiert ist. Dieser Beitrag stellt eine einfache Möglichkeit der zeitbezogenen, kollaborativen Annotation von Multimediadaten vor und veranschaulicht deren Umsetzung am Beispiel der Videosuchmaschine yovisto.
    Language
    d
  5. Web-2.0-Dienste als Ergänzung zu algorithmischen Suchmaschinen (2008) 0.02 
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    Abstract
    Mit sozialen Suchdiensten - wie z. B. Yahoo Clever, Lycos iQ oder Mister Wong - ist eine Ergänzung und teilweise sogar eine Konkurrenz zu den bisherigen Ansätzen in der Web-Suche entstanden. Während Google und Co. automatisch generierte Trefferlisten bieten, binden soziale Suchdienste die Anwender zu Generierung der Suchergebnisse in den Suchprozess ein. Vor diesem Hintergrund wird in diesem Buch der Frage nachgegangen, inwieweit soziale Suchdienste mit traditionellen Suchmaschinen konkurrieren oder diese qualitativ ergänzen können. Der vorliegende Band beleuchtet die hier aufgeworfene Fragestellung aus verschiedenen Perspektiven, um auf die Bedeutung von sozialen Suchdiensten zu schließen.
    Editor
    Lewandowski, D. u. C. Maaß
    Language
    d
  6. Lin, N.; Li, D.; Ding, Y.; He, B.; Qin, Z.; Tang, J.; Li, J.; Dong, T.: ¬The dynamic features of Delicious, Flickr, and YouTube (2012) 0.01 
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    Abstract
    This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr, and YouTube from 2003 to 2008. Three algorithms are designed to study the macro- and micro-tag growth as well as the dynamics of taggers' activities, respectively. Moreover, we propose a Tagger Tag Resource Latent Dirichlet Allocation (TTR-LDA) model to explore the evolution of topics emerging from those social vocabularies. Our results show that (a) at the macro level, tag growth in all the three tagging systems obeys power law distribution with exponents lower than 1; at the micro level, the tag growth of popular resources in all three tagging systems follows a similar power law distribution; (b) the exponents of tag growth vary in different evolving stages of resources; (c) the growth of number of taggers associated with different popular resources presents a feature of convergence over time; (d) the active level of taggers has a positive correlation with the macro-tag growth of different tagging systems; and (e) some topics evolve into several subtopics over time while others experience relatively stable stages in which their contents do not change much, and certain groups of taggers continue their interests in them.
  7. Niemann, C.: Intelligenz im Chaos : erste Schritte zur Analyse des Kreativen Potenzials eines Tagging-Systems (2010) 0.01 
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    Abstract
    Die Auszeichnung digitaler Medien durch Tagging ist zur festen Größe für das Wissensmanagement im Internet avanciert. Im Kontext des zunehmenden information overload' stehen wissenschaftliche Bibliotheken vor der Aufgabe, die große Flut digital publizierter Artikel und Werke möglichst inhaltlich erschlossen verfügbar zu machen. Die Frage ist, ob durch den Einsatz von Tagging-Systemen die kollaborative Intelligenz der NutzerInnen für die Sacherschließung eingesetzt werden kann, während diese von einer intuitiven und individuellen Wissensorganisation profitieren. Die große Freiheit bei der Vergabe von Deskriptoren durch die NutzerInnen eines Tagging-Systems ist nämlich ein ambivalentes Phänomen: Kundennähe und kreatives Potenzial stehen der großen Menge völlig unkontrollierter Meta-Informationen gegenüber, deren inhaltliche Qualität und Aussagekraft noch unklar ist. Bisherige Forschungsbemühungen konzentrieren sich hauptsächlich auf die automatische Hierarchisierung bzw. Relationierung der Tag-Daten (etwa mittels Ähnlichkeitsalgorithmen) oder auf die Analyse des (Miss-)Erfolgs, den die NutzerInnen bei einer Suchanfrage subjektiv erfahren. Aus der Sicht stark strukturierter Wissensorganisation, wie sie Experten z. B. durch die Anwendung von Klassifikationen realisieren, handelt es sich bei den zunächst unvermittelt nebeneinander stehenden Tags allerdings kurz gesagt um Chaos. Dass in diesem Chaos aber auch Struktur und wertvolles Wissen als Gemeinschaftsprodukt erzeugt werden kann, ist eine der zentralen Thesen dieses Artikels.
    Language
    d
  8. Li, D.; Ding, Y.; Sugimoto, C.; He, B.; Tang, J.; Yan, E.; Lin, N.; Qin, Z.; Dong, T.: Modeling topic and community structure in social tagging : the TTR-LDA-Community model (2011) 0.01 
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  9. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.01 
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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
  10. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.01 
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    Date
    1. 8.2010 12:35:22
  11. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.01 
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    Date
    10. 9.2000 17:38:22
  12. Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009) 0.01 
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    Date
    10. 9.2000 17:38:22
  13. Danowski, P.: Authority files and Web 2.0 : Wikipedia and the PND. An Example (2007) 0.01 
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  14. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.01 
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    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
  15. Kim, H.L.; Scerri, S.; Breslin, J.G.; Decker, S.; Kim, H.G.: ¬The state of the art in tag ontologies : a semantic model for tagging and folksonomies (2008) 0.01 
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    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
  16. Yi, K.: Harnessing collective intelligence in social tagging using Delicious (2012) 0.01 
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    Date
    25.12.2012 15:22:37
  17. Choi, Y.; Syn, S.Y.: Characteristics of tagging behavior in digitized humanities online collections (2016) 0.01 
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    Date
    21. 4.2016 11:23:22
  18. Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019) 0.01 
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    Date
    20. 1.2015 18:30:22
  19. Good tags - bad tags : Social Tagging in der Wissensorganisation (2008) 0.01 
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    Footnote
    Der Band zeigt eindrucksvoll die Fülle der Anwendungsgebiete für Tagging-Systeme und die Vielfalt der Forschungsfragen, die sich daraus ergeben. Dabei bleiben eine Reihe von Desideraten bestehen, etwa zum tatsächlichen Sprachgebrauch in Tagging-Systemen, dem Zusammenhang zwischen Tagverwendung und Systemdesign oder der tatsächlichen Effektivität der tagbasierten Suche. Für die Bewertung z. B. der Retrievaleffektivität der Suche bei Flickr oder YouTube sind aber sicher auch neue Qualitätsmodelle der Inhaltsbewertung erforderlich, weil die Bewertungskriterien der Fachinformation dort nur bedingt greifen."
    Language
    d
  20. Peters, I.: Benutzerzentrierte Erschließungsverfahren (2013) 0.01 
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    Language
    d
    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried

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