Search (37 results, page 1 of 2)

  • × theme_ss:"Social tagging"
  1. Golub, K.; Moon, J.; Nielsen, M.L.; Tudhope, D.: EnTag: Enhanced Tagging for Discovery (2008) 0.05
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    Abstract
    Purpose: Investigate the combination of controlled and folksonomy approaches to support resource discovery in repositories and digital collections. Aim: Investigate whether use of an established controlled vocabulary can help improve social tagging for better resource discovery. Objectives: (1) Investigate indexing aspects when using only social tagging versus when using social tagging with suggestions from a controlled vocabulary; (2) Investigate above in two different contexts: tagging by readers and tagging by authors; (3) Investigate influence of only social tagging versus social tagging with a controlled vocabulary on retrieval. - Vgl.: http://www.ukoln.ac.uk/projects/enhanced-tagging/.
  2. Knautz, K.; Stock, W.G.: Collective indexing of emotions in videos (2011) 0.04
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    Abstract
    Purpose - The object of this empirical research study is emotion, as depicted and aroused in videos. This paper seeks to answer the questions: Are users able to index such emotions consistently? Are the users' votes usable for emotional video retrieval? Design/methodology/approach - The authors worked with a controlled vocabulary for nine basic emotions (love, happiness, fun, surprise, desire, sadness, anger, disgust and fear), a slide control for adjusting the emotions' intensity, and the approach of broad folksonomies. Different users tagged the same videos. The test persons had the task of indexing the emotions of 20 videos (reprocessed clips from YouTube). The authors distinguished between emotions which were depicted in the video and those that were evoked in the user. Data were received from 776 participants and a total of 279,360 slide control values were analyzed. Findings - The consistency of the users' votes is very high; the tag distributions for the particular videos' emotions are stable. The final shape of the distributions will be reached by the tagging activities of only very few users (less than 100). By applying the approach of power tags it is possible to separate the pivotal emotions of every document - if indeed there is any feeling at all. Originality/value - This paper is one of the first steps in the new research area of emotional information retrieval (EmIR). To the authors' knowledge, it is the first research project into the collective indexing of emotions in videos.
  3. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.04
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    Date
    1. 8.2010 12:35:22
  4. Yi, K.: Harnessing collective intelligence in social tagging using Delicious (2012) 0.04
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    Date
    25.12.2012 15:22:37
  5. Farkas, M.G.: Social software in libraries : building collaboration, communication, and community online (2007) 0.02
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    Classification
    BBK (FH K)
    GHBS
    BBK (FH K)
  6. Regulski, K.: Aufwand und Nutzen beim Einsatz von Social-Bookmarking-Services als Nachweisinstrument für wissenschaftliche Forschungsartikel am Beispiel von BibSonomy (2007) 0.01
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  7. Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008) 0.01
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    Pages
    S.15-22
  8. Hidderley, R.; Rafferty, P.: Flickr and democratic indexing : disciplining desire lines (2006) 0.01
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  9. Tschetschonig, K.; Ladengruber, R.; Hampel, T.; Schulte, J.: Kollaborative Tagging-Systeme im Electronic Commerce (2008) 0.01
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  10. 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
  11. Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008) 0.01
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    Date
    21. 6.2009 12:22:44
  12. Web-2.0-Dienste als Ergänzung zu algorithmischen Suchmaschinen (2008) 0.01
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    Content
    Das Buchprojekt entstand im Rahmen des Forschungsprojektes Theseus (Teilprojekt Alexandria). - Als Online Publikation vgl.: http://www.bui.haw-hamburg.de/fileadmin/user_upload/lewandowski/Web20-Buch/lewandowski-maass.pdf. Rez. in: ZfBB 56(2009) H.2, S.134-135 (K. Lepsky)
  13. 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
  14. 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
  15. Niemann, C.: Tag-Science : Ein Analysemodell zur Nutzbarkeit von Tagging-Daten (2011) 0.01
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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
  16. Komus, A.; Wauch, F.: Wikimanagement : was Unternehmen von Social-Software und Web 2.0 lernen können (2008) 0.01
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    Classification
    TVK (FH K)
    GHBS
    TVK (FH K)
  17. Golub, K.; Lykke, M.; Tudhope, D.: Enhancing social tagging with automated keywords from the Dewey Decimal Classification (2014) 0.01
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  18. Munk, T.B.; Moerk, K.: Folksonomies, tagging communities, and tagging strategies : an empirical study (2007) 0.01
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  19. Chopin, K.: Finding communities : alternative viewpoints through weblogs and tagging (2008) 0.01
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  20. Simon, J.: Interdisciplinary knowledge creation : using wikis in science (2006) 0.01
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch

Years

Languages

  • e 30
  • d 7

Types

  • a 31
  • m 4
  • b 2
  • el 2
  • s 1
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