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Herausgeber: 
  • Kei-Hoi Cheung
  • Huajun Chen
  • Yimin Wang
  • Semantic e-Science 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  September 2010  
    Genre:  Wirtschaft / Recht 
     
    Application software / B / Business and Management / Business applications / Business mathematics & systems / Business—Data processing / Decision Making / Information Retrieval / Information Systems Applications (incl. Internet) / Information Systems Applications (incl.Internet) / Information Technology / Internet searching / IT in Business / Management decision making / Management science / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory
    ISBN:  9781441959027 
    EAN-Code: 
    9781441959027 
    Verlag:  Springer Nature Singapore 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #11 - Annals of Information Systems  
    Dimensionen:  H 234 mm / B 156 mm / D 25 mm 
    Gewicht:  538 gr 
    Seiten:  352 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. After first presenting papers on the foundations of semantic e-science, including papers on scientific knowledge acquisition, data integration, and workflow, this volume looks at the state of the art in each of the above-mentioned disciplines, presenting research on semantic web applications in the life, earth, materials, and social sciences. Drawing papers from three semantic web workshops, as well as papers from several invited contributors, this volume illustrates how far semantic web applications have come in helping to manage scientific information flow.

      
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