-
Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008)
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- Pages
- S.15-22
- Source
- Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
-
Xu, C.; Ma, B.; Chen, X.; Ma, F.: Social tagging in the scholarly world (2013)
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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.
-
Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008)
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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
-
Hammond, T.; Hannay, T.; Lund, B.; Flack, M.: Social bookmarking tools (II) : a case study - Connotea (2005)
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- Source
- D-Lib magazine. 11(2005) no.4, x S
-
Niemann, C.: Intelligenz im Chaos : erste Schritte zur Analyse des Kreativen Potenzials eines Tagging-Systems (2010)
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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.
- Source
- ¬The Ne(x)t generation: das Angebot der Bibliotheken; 30. Österreichischer Bibliothekartag, Graz, 15.-18.9.2009. Hrsg.: Ute Bergner u. Erhard Göbel
-
Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008)
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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
-
Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009)
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- Date
- 1. 8.2010 12:35:22
- Source
- Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
-
Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009)
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- Date
- 10. 9.2000 17:38:22
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- b
-
Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009)
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- Date
- 10. 9.2000 17:38:22
- Type
- b
-
Hammond, T.; Hannay, T.; Lund, B.; Scott, J.: Social bookmarking tools (I) : a general review (2005)
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- Source
- D-Lib magazine. 11(2005) no.4, x S
-
Vander Wal, T.: Welcome to the Matrix! (2008)
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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
-
Simon, D.: Anreicherung bibliothekarischer Titeldaten durch Tagging : Möglichkeiten und Probleme (2007)
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- Type
- x
-
Sack, H.; Waitelonis, J.: Zeitbezogene kollaborative Annotation zur Verbesserung der inhaltsbasierten Videosuche (2008)
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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
-
Farkas, M.G.: Social software in libraries : building collaboration, communication, and community online (2007)
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- Isbn
- 1-57387-275-X
-
Panke, S.; Gaiser, B.: "With my head up in the clouds" : Social Tagging aus Nutzersicht (2008)
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- Source
- Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
-
Birkenhake, B.: Semantic Weblog : Erfahrungen vom Bloggen mit Tags und Ontologien (2008)
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- Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
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Hänger, C.: Good tags or bad tags? : Tagging im Kontext der bibliothekarischen Sacherschließung (2008)
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- Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
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Hotho, A.; Jäschke, R.; Benz, D.; Grahl, M.; Krause, B.; Schmitz, C.; Stumme, G.: Social Bookmarking am Beispiel BibSonomy (2009)
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Carlin, S.A.: Schlagwortvergabe durch Nutzende (Tagging) als Hilfsmittel zur Suche im Web : Ansatz, Modelle, Realisierungen (2006)
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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)
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