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  • × theme_ss:"Visualisierung"
  • × type_ss:"a"
  1. Lindstrom, N.; Malmsten, M.: Building interfaces on a networked graph (2015) 0.01
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    Source
    Linked data and user interaction: the road ahead. Eds.: Cervone, H.F. u. L.G. Svensson
  2. Zhang, J.; Mostafa, J.; Tripathy, H.: Information retrieval by semantic analysis and visualization of the concept space of D-Lib® magazine (2002) 0.01
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. 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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    Source
    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
  4. Reiterer, H.; Jetter, H.-C.: Informationsvisualisierung (2013) 0.01
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    Source
    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
  5. Kocijan, K.: Visualizing natural language resources (2015) 0.01
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    Source
    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
  6. 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.
  7. 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.
  8. Moya-Anegón, F. de; Vargas-Quesada, B.; Chinchilla-Rodríguez, Z.; Corera-Álvarez, E.; Munoz-Fernández, F.J.; Herrero-Solana, V.; SCImago Group: Visualizing the marrow of science (2007) 0.01
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  9. Tscherteu, G.; Langreiter, C.: Explorative Netzwerkanalyse im Living Web (2009) 0.01
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    Source
    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
  10. Olawuyi, N.J.; Akhigbe, B.I.; Afolabi, B.S.: Knowledge organization system interoperability : the cogitation of user interfaces for better interactivity (2018) 0.01
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  11. Julien, C.-A.; Leide, J.E.; Bouthillier, F.: Controlled user evaluations of information visualization interfaces for text retrieval : literature review and meta-analysis (2008) 0.01
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    Type
    b
  12. Wu, Y.; Bai, R.: ¬An event relationship model for knowledge organization and visualization (2017) 0.01
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    Abstract
    An event is a specific occurrence involving participants, which is a typed, n-ary association of entities or other events, each identified as a participant in a specific semantic role in the event (Pyysalo et al. 2012; Linguistic Data Consortium 2005). Event types may vary across domains. Representing relationships between events can facilitate the understanding of knowledge in complex systems (such as economic systems, human body, social systems). In the simplest form, an event can be represented as Entity A <Relation> Entity B. This paper evaluates several knowledge organization and visualization models and tools, such as concept maps (Cmap), topic maps (Ontopia), network analysis models (Gephi), and ontology (Protégé), then proposes an event relationship model that aims to integrate the strengths of these models, and can represent complex knowledge expressed in events and their relationships.
  13. Ohly, H.P.: Erstellung und Interpretation von semantischen Karten am Beispiel des Themas 'Soziologische Beratung' (2004) 0.01
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    Source
    Wissensorganisation in kooperativen Lern- und Arbeitsumgebungen: Proceedings der 8. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Regensburg, 9.-11. Oktober 2002. Hrsg.: G. Budin u. H.P. Ohly
  14. Burkhard, R.: Knowledge Visualization : Die nächste Herausforderung für Semantic Web Forschende? (2006) 0.01
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    Source
    Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer
  15. Schwartz, D.: Graphische Datenanalyse für digitale Bibliotheken : Leistungs- und Funktionsumfang moderner Analyse- und Visualisierungsinstrumente (2006) 0.01
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    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
  16. Buchel, O.: Uncovering Hidden Clues about Geographic Visualization in LCC (2006) 0.01
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  17. Hajdu Barát, A.: Usability and the user interfaces of classical information retrieval languages (2006) 0.01
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  18. Hemmje, M.: LyberWorld - a 3D graphical user interface for fulltext retrieval (1995) 0.01
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  19. Gelernter, J.: Visual classification with information visualization (Infoviz) for digital library collections (2007) 0.01
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  20. Large, A.; Beheshti, J.; Tabatabaei, N.; Nesset, V.: Developing a visual taxonomy : children's views on aesthetics (2009) 0.01
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