Search (28 results, page 1 of 2)

  • × theme_ss:"Visualisierung"
  1. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.02
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    Date
    22. 7.2010 19:36:46
    Source
    Knowledge organization. 37(2010) no.3, S.157-172
    Year
    2010
  2. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.01
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    Abstract
    This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time-variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co-citation footprint in scientific literature - an evolving network of scientific publications cited by research-front concepts. Kleinberg's (2002) burst-detection algorithm is adapted to identify emergent research-front concepts. Freeman's (1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time. Two complementary visualization views are designed and implemented: cluster views and time-zone views. The contributions of the approach are that (a) the nature of an intellectual base is algorithmically and temporally identified by emergent research-front terms, (b) the value of a co-citation cluster is explicitly interpreted in terms of research-front concepts, and (c) visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network. The modeling and visualization process is implemented in CiteSpace II, a Java application, and applied to the analysis of two research fields: mass extinction (1981-2004) and terrorism (1990-2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts, who are the authors of pivotal-point articles. Practical implications of the work are discussed. A number of challenges and opportunities for future studies are identified.
    Date
    22. 7.2006 16:11:05
  3. Leydesdorff, L.; Persson, O.: Mapping the geography of science : distribution patterns and networks of relations among cities and institutes (2010) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1622-1634
    Year
    2010
  4. Rafols, I.; Porter, A.L.; Leydesdorff, L.: Science overlay maps : a new tool for research policy and library management (2010) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1871-1887
    Year
    2010
  5. Osiñska, V.: Visual analysis of classification scheme (2010) 0.00
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    Source
    Knowledge organization. 37(2010) no.4, S.299-306
    Year
    2010
  6. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.00
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    Source
    IEEE Transactions on Visualization and Computer Graphics. InfoVis 2010. [http://systemg.research.ibm.com/apps/facetatlas/cao_infovis10_paper.pdf]
    Year
    2010
  7. Tufte, E.R.: Envisioning information (1990) 0.00
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    Year
    1990
  8. Maas, J.F.: SWD-Explorer : Design und Implementation eines Software-Tools zur erweiterten Suche und grafischen Navigation in der Schlagwortnormdatei (2010) 0.00
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    Year
    2010
  9. Howarth, L.C.: Mapping the world of knowledge : cartograms and the diffusion of knowledge 0.00
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    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  10. Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.00
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    Date
    30. 5.2010 16:22:35
  11. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.00
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    Date
    1. 2.2016 18:25:22
  12. Representation in scientific practice revisited (2014) 0.00
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    Abstract
    Representation in Scientific Practice, published by the MIT Press in 1990, helped coalesce a long-standing interest in scientific visualization among historians, philosophers, and sociologists of science and remains a touchstone for current investigations in science and technology studies. This volume revisits the topic, taking into account both the changing conceptual landscape of STS and the emergence of new imaging technologies in scientific practice. It offers cutting-edge research on a broad array of fields that study information as well as short reflections on the evolution of the field by leading scholars, including some of the contributors to the 1990 volume. The essays consider the ways in which viewing experiences are crafted in the digital era; the embodied nature of work with digital technologies; the constitutive role of materials and technologies -- from chalkboards to brain scans -- in the production of new scientific knowledge; the metaphors and images mobilized by communities of practice; and the status and significance of scientific imagery in professional and popular culture. ContributorsMorana Alac, Michael Barany, Anne Beaulieu, Annamaria Carusi, Catelijne Coopmans, Lorraine Daston, Sarah de Rijcke, Joseph Dumit, Emma Frow, Yann Giraud, Aud Sissel Hoel, Martin Kemp, Bruno Latour, John Law, Michael Lynch, Donald MacKenzie, Cyrus Mody, Natasha Myers, Rachel Prentice, Arie Rip, Martin Ruivenkamp, Lucy Suchman, Janet Vertesi, Steve Woolgar
  13. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.00
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
  14. Rudolph, S.; Hemmje, M.: Visualisierung von Thesauri zur interaktiven Unterstüzung von visuellen Anfragen an Textdatenbanken (1994) 0.00
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    Abstract
    In der folgenden Studie wird eine Komponente für eine visuelle Benutzerschnittstelle zu Textdatenbanken entworfen. Mit Hilfe einer Terminologievisualisierung wird dem Benutzer eine Hilfestellung bei der Relevanzbewertung von Dokumenten und bei der Erweiterung seiner visuellen Anfrage an das Retrieval-System gegeben. Dazu werden zuerst die grundlegenden Information-Retrieval-Modelle eingehender vorgestellt, d.h., generelle Retrieval-Modelle, Retrievaloperationen und spezielle Retrieval-Modelle wie Text-Retrieval werden erläutert. Die Funktionalität eines Text-Retrieval-Systems wird vorgestellt. Darüber hinaus werden bereits existierende Implementierungen visueller Information-Retrieval-Benutzerschnittstellen vorgestellt. Im weiteren Verlauf der Arbeit werden mögliche Visualisierungen der mit Hilfe eines Text-Retrieval-Systems gefundenen Dokumente aufgezeigt. Es werden mehrere Vorschläge zur Visualisierung von Thesauri diskutiert. Es wird gezeigt, wie neuronale Netze zur Kartierung eines Eingabebereiches benutzt werden können. Klassifikationsebenen einer objekt-orientierten Annäherung eines Information-Retrieval-Systems werden vorgestellt. In diesem Zusammenhang werden auch die Eigenschaften von Thesauri sowie die Architektur und Funktion eines Parsersystems erläutert. Mit diesen Voraussetzung wird die Implementierung einer visuellen Terminologierunterstützung realisiert. Abschließend wird ein Fazit zur vorgestellten Realisierung basierend auf einem Drei-Schichten-Modell von [Agosti et al. 1990] gezogen.
  15. Wainer, H.: Picturing the uncertain world : how to understand, communicate, and control uncertainty through graphical display (2009) 0.00
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    Footnote
    Rez. in: JASIST 61(2010) no.4, S. 853-854 (L. Wilkinson)
  16. Trunk, D.: Semantische Netze in Informationssystemen : Verbesserung der Suche durch Interaktion und Visualisierung (2005) 0.00
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    Date
    30. 1.2007 18:22:41
  17. Palm, F.: QVIZ : Query and context based visualization of time-spatial cultural dynamics (2007) 0.00
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  18. Thissen, F.: Screen-Design-Handbuch : Effektiv informieren und kommunizieren mit Multimedia (2001) 0.00
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    Date
    22. 3.2008 14:35:21
  19. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013) 0.00
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    Date
    4. 2.2015 9:22:39
  20. Zhu, B.; Chen, H.: Information visualization (2004) 0.00
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    Abstract
    Visualization can be classified as scientific visualization, software visualization, or information visualization. Although the data differ, the underlying techniques have much in common. They use the same elements (visual cues) and follow the same rules of combining visual cues to deliver patterns. They all involve understanding human perception (Encarnacao, Foley, Bryson, & Feiner, 1994) and require domain knowledge (Tufte, 1990). Because most decisions are based an unstructured information, such as text documents, Web pages, or e-mail messages, this chapter focuses an the visualization of unstructured textual documents. The chapter reviews information visualization techniques developed over the last decade and examines how they have been applied in different domains. The first section provides the background by describing visualization history and giving overviews of scientific, software, and information visualization as well as the perceptual aspects of visualization. The next section assesses important visualization techniques that convert abstract information into visual objects and facilitate navigation through displays an a computer screen. It also explores information analysis algorithms that can be applied to identify or extract salient visualizable structures from collections of information. Information visualization systems that integrate different types of technologies to address problems in different domains are then surveyed; and we move an to a survey and critique of visualization system evaluation studies. The chapter concludes with a summary and identification of future research directions.

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