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Maas, J.F.: SWD-Explorer : Design und Implementation eines Software-Tools zur erweiterten Suche und grafischen Navigation in der Schlagwortnormdatei (2010)
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- Abstract
- Die Schlagwortnormdatei (SWD) stellt als kooperativ erstelltes, kontrolliertes Vokabular ein aus dem deutschsprachigen Raum nicht mehr wegzudenkendes Mittel zur Verschlagwortung von Medien dar. Die SWD dient primär der Vereinheitlichung der Verschlagwortung. Darüber hinaus sind in der Struktur der SWD Relationen zwischen Schlagwörtern definiert, die eine gut vorbereitete Suche stark erleichtern können. Beispiel für solche Relationen sind die Unterbegriff-/Oberbegriffrelationen (Hyponym/Hyperonym) oder die Relation der Ähnlichkeit von Begriffen. Diese Arbeit unternimmt den Versuch, durch die Erstellung eines Such- und Visualisierungstools den Umgang mit der SWD zu erleichtern. Im Fokus der Arbeit steht dabei zum einen die Aufgabe des Fachreferenten, ein Medium geeignet zu verschlagworten. Diese Aufgabe soll durch die Optimierung der technischen Suchmöglichkeiten mit Hilfe von Schlagwörtern geschehen, z.B. durch die Suche mit Hilfe Regulärer Ausdrücke oder durch die Suche entlang der hierarchischen Relationen. Zum anderen sind die beschriebenen Relationen innerhalb der SWD oft unsauber spezifiziert, was ein negativer Seiteneffekt der interdisziplinären und kooperativen Erstellung der SWD ist. Es wird gezeigt, dass durch geeignete Visualisierung viele Fehler schnell auffindbar und korrigierbar sind, was die Aufgabe der Datenpflege um ein Vielfaches vereinfacht. Diese Veröffentlichung geht zurück auf eine Master-Arbeit im postgradualen Fernstudiengang Master of Arts (Library and Information Science) an der Humboldt-Universität zu Berlin.
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Platis, N. et al.: Visualization of uncertainty in tag clouds (2016)
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- Date
- 1. 2.2016 18:25:22
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Börner, K.: Atlas of knowledge : anyone can map (2015)
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- Date
- 22. 1.2017 16:54:03
22. 1.2017 17:10:56
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Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010)
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- Date
- 22. 7.2010 19:36:46
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Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013)
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- Date
- 4. 2.2015 9:22:39
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Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016)
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- Date
- 20. 1.2015 18:30:22
-
Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018)
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- Date
- 9.12.2018 16:22:25
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Osinska, V.; Kowalska, M.; Osinski, Z.: ¬The role of visualization in the shaping and exploration of the individual information space : part 1 (2018)
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- Date
- 21.12.2018 17:22:13
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Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (2014)
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- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
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Graphic details : a scientific study of the importance of diagrams to science (2016)
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- Content
- As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.
