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  • × author_ss:"Schmidt, S."
  1. Schmidt, S.: Vergleich exemplarischer XML-Datenbanken in Konzeption, Anwendung und verfügbaren Schnittstellen in Abgrenzung zu relationalen, objektorientierten und XML fähigen Datenbanken (2004) 0.01 
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    Abstract
    Unabhängigkeit von Plattformen und Fähigkeit, Daten verlustfrei über das Internet auszutauschen, verhalfen der eXtensible Markup Language (XML) zum Durchbruch mit der daraus resultierenden Forderung nach und Entwicklung von nativen XML-Datenbanken. Behandelt wird, in wie weit an native XML-Datenbanken bereits ein Standard gelegt werden kann und für welche Einsatzgebiete sie geeignet sind. Dies geschieht über die Definition von Datenbanken und Anfragesprachen allgemein, unter der Betrachtung von XML-fähigen Datenbanken und mittels Vergleich von Xindice, eXist, Tamino und Natix als exemplarischen XML-Datenbanken in Konzept, verfügbaren Features und Handhabbarkeit.
    Footnote
    Diplomarbeit im Studiengang Bibliotheks- und Informationsmanagement
    Imprint
    Hamburg : Hochschule für Angewandte Wissenschaften, FB Bibliothek und Information
  2. Schmidt, S.; Stephan, A.: Virtueller Katalog Theologie und Kirche (VThK) geht an den Start (2004) 0.00 
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    Theme
    Information Gateway
  3. Schmidt, S.: Anmerkungen zur Aufstellung und Erschließung von Beständen in Öffentlichen Bibliotheken und in Hochschulbibliotheken (1987) 0.00 
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  4. Schmidt, S.: Kritische Untersuchnung der Neubearbeitungen unter dem Gesichtspunkt der Eignung beider Systeme als Grundlage für eine Normklassifikation in Öffentlichen Bibliotheken : ¬Die Klassifikationen der Stadtbibliotheken Duisburg und Hannover (1974) 0.00 
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  5. Schmidt, S.; Stock, W.G.: Collective indexing of emotions in images : a study in emotional information retrieval (2009) 0.00 
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    Abstract
    Some documents provoke emotions in people viewing them. Will it be possible to describe emotions consistently and use this information in retrieval systems? We tested collective (statistically aggregated) emotion indexing using images as examples. Considering psychological results, basic emotions are anger, disgust, fear, happiness, and sadness. This study follows an approach developed by Lee and Neal (2007) for music emotion retrieval and applies scroll bars for tagging basic emotions and their intensities. A sample comprising 763 persons tagged emotions caused by images (retrieved from www.Flickr.com) applying scroll bars and (linguistic) tags. Using SPSS, we performed descriptive statistics and correlation analysis. For more than half of the images, the test persons have clear emotion favorites. There are prototypical images for given emotions. The document-specific consistency of tagging using a scroll bar is, for some images, very high. Most of the (most commonly used) linguistic tags are on the basic level (in the sense of Rosch's basic level theory). The distributions of the linguistic tags in our examples follow an inverse power-law. Hence, it seems possible to apply collective image emotion tagging to image information systems and to present a new search option for basic emotions. This article is one of the first steps in the research area of emotional information retrieval (EmIR).
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.5, S.863-876

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