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Herausgeber: 
  • Paolo Ciancarini
  • Francesco Poggi
  • Jun Zhao
  • Valentina Presutti
  • Matthew Horridge
  • Mathieu d'Aquin
  • Tudor Groza
  • Mari Carmen Suarez-Figueroa
  • Knowledge Engineering and Knowledge Management: EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19¿23, 2016, Revised Select 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Mai 2017  
    Genre:  EDV / Informatik 
     
    Application software / Artificial Intelligence / C / Computer Appl. in Administrative Data Processing / Computer Application in Administrative Data Processing / computer science / Data Mining / Data Mining and Knowledge Discovery / Expert systems / knowledge-based systems / Formal Languages and Automata Theory / Information technology# general issues / Mathematical logic / Mathematical Logic and Formal Languages / Mathematical theory of computation / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / Public Administration
    ISBN:  9783319586939 
    EAN-Code: 
    9783319586939 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #10180 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  464 gr 
    Seiten:  304 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016.
    The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions. This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium. The special focus of this year's EKAW was "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations with a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits.

      
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