Search (39 results, page 1 of 2)

  • × theme_ss:"Social tagging"
  1. Aagaard, H.: Social indexing at the Stockholm Public Library (2011) 0.01
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    Date
    25. 6.2015 19:46:23
  2. 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".
  3. 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
  4. 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
    1. 6.2019 19:17:23
  5. Bertram, J.: Social Tagging : zum Potential einer neuen Indexiermethode (2009) 0.00
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    Date
    23. 3.2009 14:48:53
  6. Tennis, J.T.: Measured time : imposing a temporal metric to classificatory structures 0.00
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  7. Peters, I.: Folksonomies & Social Tagging (2023) 0.00
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    Date
    24.11.2022 17:13:23
  8. Furner, J.: User tagging of library resources : toward a framework for system evaluation (2007) 0.00
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    Content
    Vortrag anlässlich: WORLD LIBRARY AND INFORMATION CONGRESS: 73RD IFLA GENERAL CONFERENCE AND COUNCIL 19-23 August 2007, Durban, South Africa. - 157 - Classification and Indexing
  9. Panke, S.; Gaiser, B.: "With my head up in the clouds" : Social Tagging aus Nutzersicht (2008) 0.00
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    Pages
    S.23-35
  10. Aparecida Moura, M.; Assis, J.: Social networks, indexing languages and organization of knowledge : a semiotic approach 0.00
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  11. Wang, J.; Clements, M.; Yang, J.; Vries, A.P. de; Reinders, M.J.T.: Personalization of tagging systems (2010) 0.00
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    Date
    23. 1.2011 16:07:35
  12. Hammond, T.; Hannay, T.; Lund, B.; Flack, M.: Social bookmarking tools (II) : a case study - Connotea (2005) 0.00
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    Date
    26.12.2011 14:07:23
  13. Lüth, J.: Inhaltserschließung von Internetquellen durch Nutzerinnen und Nutzer : Ergebnisse eines Tests mit Internetquellen der Virtuellen Fachbibliothek EconBiz (2009) 0.00
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    Date
    2. 4.2009 19:50:23
  14. Yi, K.: ¬A semantic similarity approach to predicting Library of Congress subject headings for social tags (2010) 0.00
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    Date
    23. 7.2010 13:19:52
  15. Tsui, E.; Wang, W.M.; Cheung, C.F.; Lau, A.S.M.: ¬A concept-relationship acquisition and inference approach for hierarchical taxonomy construction from tags (2010) 0.00
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    Date
    23. 1.2011 16:02:16
  16. Niemann, C.: Intelligenz im Chaos : erste Schritte zur Analyse des Kreativen Potenzials eines Tagging-Systems (2010) 0.00
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    Date
    20. 3.2011 13:23:08
  17. Peters, I.: Folksonomies : indexing and retrieval in Web 2.0 (2009) 0.00
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    Date
    3. 3.2010 18:23:21
  18. Yoon, J.W.: Towards a user-oriented thesaurus for non-domain-specific image collections (2009) 0.00
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    Date
    23. 1.2011 14:11:01
  19. Knautz, K.; Stock, W.G.: Collective indexing of emotions in videos (2011) 0.00
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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.
  20. Spiteri, L.F.: Extending the scope of library discovery systems via hashtags (2018) 0.00
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira

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