Search (69 results, page 1 of 4)

  • × theme_ss:"Visualisierung"
  1. Yukimo Kobashio, N.; Santos, R.N.M.: Information organization and representation by graphic devices : an interdisciplinary approach (2007) 0.04 
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    ¬La interdisciplinariedad y la transdisciplinariedad en la organización del conocimiento científico : actas del VIII Congreso ISKO-España, León, 18, 19 y 20 de Abril de 2007 : Interdisciplinarity and transdisciplinarity in the organization of scientific knowledge. Ed.: B. Rodriguez Bravo u. M.L Alvite Diez
  2. Fátima Loureiro, M. de: Information organization and visualization in cyberspace : interdisciplinary study based on concept maps (2007) 0.03 
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    ¬La interdisciplinariedad y la transdisciplinariedad en la organización del conocimiento científico : actas del VIII Congreso ISKO-España, León, 18, 19 y 20 de Abril de 2007 : Interdisciplinarity and transdisciplinarity in the organization of scientific knowledge. Ed.: B. Rodriguez Bravo u. M.L Alvite Diez
  3. Christoforidis, A.; Heuwing, B.; Mandl, T.: Visualising topics in document collections : an analysis of the interpretation process of historians (2017) 0.03 
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    Everything changes, everything stays the same? - Understanding information spaces : Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin/Germany, 13th - 15th March 2017. Eds.: M. Gäde, V. Trkulja u. V. Petras
  4. Burkhard, R.A.: Impulse: using knowledge visualization in business process oriented knowledge infrastructures (2005) 0.02 
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  5. Thissen, F.: Screen-Design-Handbuch : Effektiv informieren und kommunizieren mit Multimedia (2001) 0.02 
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    Date
    22. 3.2008 14:35:21
    Issue
    2., überarb. u. erw. Aufl.
  6. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.02 
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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
  7. Pejtersen, A.M.: ¬The BookHouse : an icon based database system for fiction retrieval in public libraries (1992) 0.01 
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    Source
    The marketing of library and information services, 2. Ed.: B. Cronin
  8. Hemmje, M.: LyberWorld : eine 3D-basierte Benutzerschnittstelle für die computerunterstützte Informationssuche in Dokumentmengen (1993) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  9. Wilson, M.: Interfaces for information retrieval (2011) 0.01 
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    Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly
  10. Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (2014) 0.01 
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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
  11. Pejtersen, A.M.: Implications of users' value perception for the design of a bibliographic retrieval system (1986) 0.01 
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    Empirical foundation of information and software science. Ed.: J.C. Agarwal u. P. Zunde
  12. Di Maio, P.: Linked data beyond libraries : towards universal interfaces and knowledge unification (2015) 0.01 
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    Linked data and user interaction: the road ahead. Eds.: Cervone, H.F. u. L.G. Svensson
  13. Lindstrom, N.; Malmsten, M.: Building interfaces on a networked graph (2015) 0.01 
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    Linked data and user interaction: the road ahead. Eds.: Cervone, H.F. u. L.G. Svensson
  14. Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing to text mining environment : NP recognition model to knowledge visualization and information (2003) 0.01 
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    Tendencias de investigación en organización del conocimient: IV Cologuio International de Ciencas de la Documentación , VI Congreso del Capitulo Espanol de ISKO = Trends in knowledge organization research. Eds.: J.A. Frias u. C. Travieso
  15. Reiterer, H.; Jetter, H.-C.: Informationsvisualisierung (2013) 0.01 
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    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
  16. Kocijan, K.: Visualizing natural language resources (2015) 0.01 
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    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  17. Aris, A.; Shneiderman, B.; Qazvinian, V.; Radev, D.: Visual overviews for discovering key papers and influences across research fronts (2009) 0.01 
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    Abstract
    Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network-visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two-dimensional layouts with multiple regions and user control of link visibility, we conducted a design-oriented, preliminary case study with 6 domain experts over a 4-month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.
  18. Oh, K.E.; Halpern, D.; Tremaine, M.; Chiang, J.; Silver, D.; Bemis, K.: Blocked: when the information is hidden by the visualization (2016) 0.01 
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    Abstract
    This study investigated how people comprehend three-dimensional (3D) visualizations and what properties of such visualizations affect comprehension. Participants were asked to draw the face of a 3D visualization after it was cut in half. We videotaped the participants as they drew, erased, verbalized their thoughts, gestured, and moved about a two-dimensional paper presentation of the 3D visualization. The videorecords were analyzed using a grounded theory approach to generate hypotheses related to comprehension difficulties and visualization properties. Our analysis of the results uncovered three properties that made problem solving more difficult for participants. These were: (a) cuts that were at an angle in relation to at least one plane of reference, (b) nonplanar properties of the features contained in the 3D visualizations including curved layers and v-shaped layers, and (c) mixed combinations of layers. In contrast, (a) cutting planes that were perpendicular or parallel to the 3D visualization diagram's planes of reference, (b) internal features that were flat/planar, and (c) homogeneous layers were easier to comprehend. This research has direct implications for the generation and use of 3D information visualizations in that it suggests design features to include and avoid.
  19. Jetter, H.-C.: Informationsvisualisierung und Visual Analytics (2023) 0.01 
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    Abstract
    Die Visualisierung digitaler Datenbestände mit dem Computer ist heute alltäglich geworden. Spätestens seit der COVID-19-Pandemie sind computergenerierte Datenvisualisierungen und deren Interpretation durch den Menschen nicht mehr nur Expert*innen für Statistik und Datenanalyse vorbehalten. Stattdessen sind interaktive Visualisierungen zur Darstellung von Trends, Mustern oder Vergleichen in Daten zu festen Bestandteilen unseres medialen Alltags geworden, ob im (Daten-)Journalismus, in den sozialen Medien oder bei der Kommunikation von Behörden mit der Bevölkerung. Wie bereits von Reiterer und Jetter (2013) in einer früheren Auflage dieses Beitrags thematisiert wurde, bietet dieser Trend zur interaktiven und narrativen Visualisierung in den Massenmedien den Benutzer*innen neue Möglichkeiten des datenbasierten Erkenntnisgewinns. Seitdem popularisiert zusätzlich die Vielzahl verfügbarer "Tracker"-Apps mit dem Ziel der Verhaltensoptimierung (z. B. im Bereich Fitness oder Energiekonsum) die interaktive Visualisierung und Analyse persönlicher und privater Daten. Auch im beruflichen Alltag haben sich einstige Nischenwerkzeuge, wie z. B. die Visualisierungssoftware Tableau, in äußerst populäre Anwendungen verwandelt und sind zum Gegenstand zweistelliger Milliardeninvestitionen geworden, insbesondere für die Visualisierung und Analyse von Geschäftsdaten. Im Lichte dieser Entwicklungen soll dieser Beitrag daher im Folgenden einerseits grundlegende Begriffe und Konzepte der Informationsvisualisierung vermitteln, andererseits auch Alltagsformen und Zukunftstrends wie Visual Analytics thematisieren.
  20. Bekavac, B.; Herget, J.; Hierl, S.; Öttl, S.: Visualisierungskomponenten bei webbasierten Suchmaschinen : Methoden, Kriterien und ein Marktüberblick (2007) 0.01 
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