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  • × theme_ss:"Visualisierung"
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  1. Jetter, H.-C.: Informationsvisualisierung und Visual Analytics (2023) 0.02 
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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.
  2. Singh, A.; Sinha, U.; Sharma, D.k.: Semantic Web and data visualization (2020) 0.02 
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    Abstract
    With the terrific growth of data volume and data being produced every second on millions of devices across the globe, there is a desperate need to manage the unstructured data available on web pages efficiently. Semantic Web or also known as Web of Trust structures the scattered data on the Internet according to the needs of the user. It is an extension of the World Wide Web (WWW) which focuses on manipulating web data on behalf of Humans. Due to the ability of the Semantic Web to integrate data from disparate sources and hence makes it more user-friendly, it is an emerging trend. Tim Berners-Lee first introduced the term Semantic Web and since then it has come a long way to become a more intelligent and intuitive web. Data Visualization plays an essential role in explaining complex concepts in a universal manner through pictorial representation, and the Semantic Web helps in broadening the potential of Data Visualization and thus making it an appropriate combination. The objective of this chapter is to provide fundamental insights concerning the semantic web technologies and in addition to that it also elucidates the issues as well as the solutions regarding the semantic web. The purpose of this chapter is to highlight the semantic web architecture in detail while also comparing it with the traditional search system. It classifies the semantic web architecture into three major pillars i.e. RDF, Ontology, and XML. Moreover, it describes different semantic web tools used in the framework and technology. It attempts to illustrate different approaches of the semantic web search engines. Besides stating numerous challenges faced by the semantic web it also illustrates the solutions.
  3. Pejtersen, A.M.: Implications of users' value perception for the design of a bibliographic retrieval system (1986) 0.01 
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    Date
    5. 8.2006 10:16:29
  4. Eibl, M.: Recherche in elektronischen Bibliothekskatalogen (1999) 0.00 
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    Date
    29. 1.2005 19:20:34
  5. Yukimo Kobashio, N.; Santos, R.N.M.: Information organization and representation by graphic devices : an interdisciplinary approach (2007) 0.00 
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    Date
    29.12.2007 18:17:29
  6. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.00 
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    Date
    1. 2.2016 18:25:22
  7. Frederichs, A.: Natürlichsprachige Abfrage und 3-D-Visualisierung von Wissenszusammenhängen (2007) 0.00 
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    Date
    25.10.2007 9:51:29
    Source
    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
  8. Eckert, K.; Pfeffer, M.; Stuckenschmidt, H.: Assessing thesaurus-based annotations for semantic search applications (2008) 0.00 
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    Date
    25. 2.2012 13:51:29
  9. Vizine-Goetz, D.: DeweyBrowser (2006) 0.00 
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    Date
    28. 9.2008 19:16:29
  10. Wild, F.: Visuelle Verfahren im Information Retrieval (2005) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 56(2005) H.1, S.29-34
  11. Passath, C.: Information-Panels : Die Informationsvermittler der Zukunft (2005) 0.00 
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    Date
    29. 1.1997 18:49:05
  12. Soylu, A.; Giese, M.; Jimenez-Ruiz, E.; Kharlamov, E.; Zheleznyakov, D.; Horrocks, I.: Towards exploiting query history for adaptive ontology-based visual query formulation (2014) 0.00 
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  13. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.00 
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    Date
    22. 7.2010 19:36:46
  14. Eibl, M.; Mandl, T.: ¬Die Qualität von Visualisierungen : eine Methode zum Vergleich zweidimensionaler Karten (2004) 0.00 
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    Date
    29. 1.2005 19:17:50
  15. Linden, E.J. van der; Vliegen, R.; Wijk, J.J. van: Visual Universal Decimal Classification (2007) 0.00 
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    Extensions and corrections to the UDC. 29(2007), S.297-300
  16. Reiterer, H.; Jetter, H.-C.: ¬Das Projekt Mediovis : visuelle Exploration digitaler Bibliotheken (2007) 0.00 
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    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
  17. Trentin, G.: Graphic tools for knowledge representation and informal problem-based learning in professional online communities (2007) 0.00 
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    Date
    28. 2.2008 14:16:29
  18. Shiri, A.; Molberg, K.: Interfaces to knowledge organization systems in Canadian digital library collections (2005) 0.00 
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    Online information review. 29(2005) no.6, S.604-620
  19. Osiñska, V.: Visual analysis of classification scheme (2010) 0.00 
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    6. 1.2011 19:29:12
  20. Mercun, T.; Zumer, M.; Aalberg, T.: Presenting bibliographic families : Designing an FRBR-based prototype using information visualization (2016) 0.00 
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    Date
    15. 4.2016 14:29:41

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