Search (178 results, page 9 of 9)

  • × theme_ss:"Visualisierung"
  1. Lin, X.; Bui, Y.: Information visualization (2009) 0.00
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  2. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval (2015) 0.00
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  3. Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 0.00
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  4. Petrovich, E.: Science mapping and science maps (2021) 0.00
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    Abstract
    Science maps are visual representations of the structure and dynamics of scholarly knowl­edge. They aim to show how fields, disciplines, journals, scientists, publications, and scientific terms relate to each other. Science mapping is the body of methods and techniques that have been developed for generating science maps. This entry is an introduction to science maps and science mapping. It focuses on the conceptual, theoretical, and methodological issues of science mapping, rather than on the mathematical formulation of science mapping techniques. After a brief history of science mapping, we describe the general procedure for building a science map, presenting the data sources and the methods to select, clean, and pre-process the data. Next, we examine in detail how the most common types of science maps, namely the citation-based and the term-based, are generated. Both are based on networks: the former on the network of publications connected by citations, the latter on the network of terms co-occurring in publications. We review the rationale behind these mapping approaches, as well as the techniques and methods to build the maps (from the extraction of the network to the visualization and enrichment of the map). We also present less-common types of science maps, including co-authorship networks, interlocking editorship networks, maps based on patents' data, and geographic maps of science. Moreover, we consider how time can be represented in science maps to investigate the dynamics of science. We also discuss some epistemological and sociological topics that can help in the interpretation, contextualization, and assessment of science maps. Then, we present some possible applications of science maps in science policy. In the conclusion, we point out why science mapping may be interesting for all the branches of meta-science, from knowl­edge organization to epistemology.
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  5. Wild, F.: Visuelle Verfahren im Information Retrieval (2005) 0.00
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  6. Passath, C.: Information-Panels : Die Informationsvermittler der Zukunft (2005) 0.00
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  7. Kösel, S.; Rieth, D.: ¬Die betriebliche Wissenskommunikation durch Visualisierungstools beleben (2006) 0.00
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  8. Brockelmann, M.; Wolff, C.: 3D-Visualisierungen : Potenziale in Forschung und Lehre im Kontext von Informationswissenschaft und Medieninformatik (2013) 0.00
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  9. Jaklitsch, M.: Informationsvisualisierung am Beispiel des Begriffs Informationskompetenz : eine szientometrische Untersuchung unter Verwendung von BibExcel und VOSviewer (2016) 0.00
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  10. Eibl, M.; Mandl, T.: ¬Die Qualität von Visualisierungen : eine Methode zum Vergleich zweidimensionaler Karten (2004) 0.00
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  11. Reiterer, H.; Jetter, H.-C.: ¬Das Projekt Mediovis : visuelle Exploration digitaler Bibliotheken (2007) 0.00
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  12. Huang, S.-C.; Bias, R.G.; Schnyer, D.: How are icons processed by the brain? : Neuroimaging measures of four types of visual stimuli used in information systems (2015) 0.00
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  13. Brantl, M.; Ceynowa, K.; Meiers, T.; Wolf, T.: Visuelle Suche in historischen Werken (2017) 0.00
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  14. Neubauer, G.: Visualization of typed links in linked data (2017) 0.00
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  15. Kraker, P.; Schramm, M.; Kittel, C.: Open knowledge maps : visuelle Literatursuche basierend auf den Prinzipien von Open Science (2019) 0.00
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  16. Jetter, H.-C.: Informationsvisualisierung und Visual Analytics (2023) 0.00
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  17. Schek, M.: Automatische Klassifizierung in Erschließung und Recherche eines Pressearchivs (2006) 0.00
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  18. Bond: ¬Der grafische Assoziativ-OPAC AquaBrowser Library (2007) 0.00
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