Search (3 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Visualisierung"
  1. 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.
    Source
    Grundlagen der Informationswissenschaft. Hrsg.: Rainer Kuhlen, Dirk Lewandowski, Wolfgang Semar und Christa Womser-Hacker. 7., völlig neu gefasste Ausg
  2. Golub, K.; Ziolkowski, P.M.; Zlodi, G.: Organizing subject access to cultural heritage in Swedish online museums (2022) 0.00 
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    Abstract
    Purpose The study aims to paint a representative picture of the current state of search interfaces of Swedish online museum collections, focussing on search functionalities with particular reference to subject searching, as well as the use of controlled vocabularies, with the purpose of identifying which improvements of the search interfaces are needed to ensure high-quality information retrieval for the end user. Design/methodology/approach In the first step, a set of 21 search interface criteria was identified, based on related research and current standards in the domain of cultural heritage knowledge organization. Secondly, a complete set of Swedish museums that provide online access to their collections was identified, comprising nine cross-search services and 91 individual museums' websites. These 100 websites were each evaluated against the 21 criteria, between 1 July and 31 August 2020. Findings Although many standards and guidelines are in place to ensure quality-controlled subject indexing, which in turn support information retrieval of relevant resources (as individual or full search results), the study shows that they are not broadly implemented, resulting in information retrieval failures for the end user. The study also demonstrates a strong need for the implementation of controlled vocabularies in these museums. Originality/value This study is a rare piece of research which examines subject searching in online museums; the 21 search criteria and their use in the analysis of the complete set of online collections of a country represents a considerable and unique contribution to the fields of knowledge organization and information retrieval of cultural heritage. Its particular value lies in showing how the needs of end users, many of which are documented and reflected in international standards and guidelines, should be taken into account in designing search tools for these museums; especially so in subject searching, which is the most complex and yet the most common type of search. Much effort has been invested into digitizing cultural heritage collections, but access to them is hindered by poor search functionality. This study identifies which are the most important aspects to improve.
  3. Petrovich, E.: Science mapping and science maps (2021) 0.00 
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    Date
    27. 5.2022 18:19:29

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