Search (47 results, page 1 of 3)

  • × theme_ss:"Social tagging"
  1. Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008) 0.02 
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    Pages
    S.15-22
    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  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
    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  3. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.02 
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    Date
    1. 8.2010 12:35:22
    Source
    Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
  4. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.02 
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    Date
    10. 9.2000 17:38:22
    Type
    b
  5. Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009) 0.02 
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    Date
    10. 9.2000 17:38:22
    Type
    b
  6. Vander Wal, T.: Welcome to the Matrix! (2008) 0.01 
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    Date
    22. 6.2009 9:15:45
    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  7. Sack, H.; Waitelonis, J.: Zeitbezogene kollaborative Annotation zur Verbesserung der inhaltsbasierten Videosuche (2008) 0.01 
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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.
    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  8. Panke, S.; Gaiser, B.: "With my head up in the clouds" : Social Tagging aus Nutzersicht (2008) 0.01 
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    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  9. Birkenhake, B.: Semantic Weblog : Erfahrungen vom Bloggen mit Tags und Ontologien (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  10. Hänger, C.: Good tags or bad tags? : Tagging im Kontext der bibliothekarischen Sacherschließung (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  11. Hotho, A.; Jäschke, R.; Benz, D.; Grahl, M.; Krause, B.; Schmitz, C.; Stumme, G.: Social Bookmarking am Beispiel BibSonomy (2009) 0.01 
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  12. Matthews, B.; Jones, C.; Puzon, B.; Moon, J.; Tudhope, D.; Golub, K.; Nielsen, M.L.: ¬An evaluation of enhancing social tagging with a knowledge organization system (2010) 0.01 
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  13. 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.
  14. Xu, C.; Ma, B.; Chen, X.; Ma, F.: Social tagging in the scholarly world (2013) 0.01 
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    Abstract
    The number of research studies on social tagging has increased rapidly in the past years, but few of them highlight the characteristics and research trends in social tagging. A set of 862 academic documents relating to social tagging and published from 2005 to 2011 was thus examined using bibliometric analysis as well as the social network analysis technique. The results show that social tagging, as a research area, develops rapidly and attracts an increasing number of new entrants. There are no key authors, publication sources, or research groups that dominate the research domain of social tagging. Research on social tagging appears to focus mainly on the following three aspects: (a) components and functions of social tagging (e.g., tags, tagging objects, and tagging network), (b) taggers' behaviors and interface design, and (c) tags' organization and usage in social tagging. The trend suggest that more researchers turn to the latter two integrated with human computer interface and information retrieval, although the first aspect is the fundamental one in social tagging. Also, more studies relating to social tagging pay attention to multimedia tagging objects and not only text tagging. Previous research on social tagging was limited to a few subject domains such as information science and computer science. As an interdisciplinary research area, social tagging is anticipated to attract more researchers from different disciplines. More practical applications, especially in high-tech companies, is an encouraging research trend in social tagging.
  15. Voß, J.: Vom Social Tagging zum Semantic Tagging (2008) 0.01 
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    Source
    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  16. Held, C.; Cress, U.: Social Tagging aus kognitionspsychologischer Sicht (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  17. Schiefner, M.: Social Tagging in der universitären Lehre (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  18. Blank, M.; Bopp, T.; Hampel, T.; Schulte, J.: Social Tagging = Soziale Suche? (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  19. Tschetschonig, K.; Ladengruber, R.; Hampel, T.; Schulte, J.: Kollaborative Tagging-Systeme im Electronic Commerce (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
  20. Derntl, M.; Hampel, T.; Motschnig, R.; Pitner, T.: Social Tagging und Inclusive Universal Access (2008) 0.01 
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    Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a

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