-
Vander Wal, T.: Welcome to the Matrix! (2008)
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- Date
- 22. 6.2009 9:15:45
-
Blank, M.; Bopp, T.; Hampel, T.; Schulte, J.: Social Tagging = Soziale Suche? (2008)
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-
Derntl, M.; Hampel, T.; Motschnig, R.; Pitner, T.: Social Tagging und Inclusive Universal Access (2008)
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-
Seehaus, S.: Können Suchmaschinen von Sozialer Software profitieren? (2008)
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- Abstract
- Im Rahmen eines Projekts gingen Studierende an der HAW Hamburg für ihre Auftraggeber Lycos Europe und T-Online der Frage nach, wie sich Inhalte aus sozialen Suchdiensten in die algorithmische Suche einbinden lassen. Dazu analysierten und verglichen sie die Vor- und Nachteile der Systeme, die Relevanz der Suchergebnisse, die Benutzerfreundlichkeit sowie die Qualität der Inhalte. Für soziale Software ergaben sich daraus bedeutende Verbesserungspotentiale. Der Text beschreibt die Ergebnisse und die Empfehlungen für Lycos IQ.
-
Hotho, A.; Jäschke, R.; Benz, D.; Grahl, M.; Krause, B.; Schmitz, C.; Stumme, G.: Social Bookmarking am Beispiel BibSonomy (2009)
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- Source
- Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
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Hammond, T.; Hannay, T.; Lund, B.; Flack, M.: Social bookmarking tools (II) : a case study - Connotea (2005)
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-
Marchitelli, A.; Piazzini, T.: OPAC, SOPAC e social networking : cataloghi di biblioteca 2.0? (2008)
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-
Abreu, A.: "Every bit informs another" : framework analysis for descriptive practice and linked information (2008)
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- Source
- Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
-
Tennis, J.T.; Jacob, E.K.: Toward a theory of structure in information organization frameworks (2008)
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- Source
- Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
-
Tschetschonig, K.; Ladengruber, R.; Hampel, T.; Schulte, J.: Kollaborative Tagging-Systeme im Electronic Commerce (2008)
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-
George, N.L.; Jacob, E.K.; Guo, L.; Hajibayova, L.; Chuttur, M.Y.: ¬A case study of tagging patterns in del.icio.us (2008)
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- Source
- Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
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Blumauer, A.; Hochmeister, M.: Tag-Recommender gestützte Annotation von Web-Dokumenten (2009)
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- Source
- Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
-
Müller-Prove, M.: Modell und Anwendungsperspektive des Social Tagging (2008)
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- Pages
- S.15-22
-
Qin, J.: Controlled semantics versus social semantics : an epistemological analysis (2008)
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- Source
- Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
-
Corrado, E.; Moulaison, H.L.: Social tagging and communities of practice : two case studies (2008)
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- Source
- Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
-
Kipp, M.E.I.: Searching with tags : do tags help users find things? (2008)
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- Source
- Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
-
Kuchler, T.; Pawlowski, J.M.; Zimmermann, V.: Social Tagging and Open Content : a concept for the future of e-learning and knowledge management? (2008)
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-
Pammer, V.; Ley, T.; Lindstaedt, S.: tagr: Unterstützung in kollaborativen Tagging-Umgebungen durch semantische und assoziative Netzwerke (2008)
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-
Heck, T.: Analyse von sozialen Informationen für Autorenempfehlungen (2012)
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-
Knautz, K.; Stock, W.G.: Collective indexing of emotions in videos (2011)
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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.
