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Autor(en): 
  • Patricia Martin-Rodilla
  • Digging into Software Knowledge Generation in Cultural Heritage: Modeling Assistance Strategies for Large Archaeological Data Sets 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2017  
    Genre:  EDV / Informatik 
     
    Archaeology / Archäologie / Artificial Intelligence / B / Computational Intelligence / engineering / Humanities and Social Sciences / Humanities and Social Sciences, multidisciplinary
    ISBN:  9783319691879 
    EAN-Code: 
    9783319691879 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #11 - Modeling and Optimization in Science and Technologies  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  6387 gr 
    Seiten:  320 
    Illustration:  XXI, 320 p. 135 illus., 91 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets

    The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information- a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure.

    Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process.

    The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.

      



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