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Beyond Physical Mashups: Autonomous Systems for the Web of Things

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  • معلومة اضافية
    • Contributors:
      Siemens Corporate Technology; Laboratoire Hubert Curien (LHC); Institut d'Optique Graduate School (IOGS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS); Département Informatique et systèmes intelligents (FAYOL-ENSMSE); Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE); Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO)
    • بيانات النشر:
      HAL CCSD
      ACM Press
    • الموضوع:
      2017
    • Collection:
      Université Jean Monnet – Saint-Etienne: HAL
    • الموضوع:
    • نبذة مختصرة :
      International audience ; By abstracting devices to Web resources, the Web of Things (WoT)fosters innovation and rapid prototyping in the Internet of Things(IoT): it enables developers to use standard Web technologies forcreating mashups of Web services that perceive and act on thephysical world (a.k.a.physical mashups). In recent years, however,it has become apparent that current programming paradigms forWeb development have important shortcomings when it comesto engineering IoT systems: static Web mashups cannot adapt todynamic IoT environments, and manually mashing-up the IoT doesnot scale. To address these limitations, WoT researchers started tolook for means to engineer WoT systems that are more autonomousin pursuit of their design objectives. The engineering of autonomoussystems has already been explored to a large extent in the scientificliterature on artificial intelligence. In this position paper, we distillthat large body of research into a coherent set of abstractions forengineering autonomous WoT systems.
    • Relation:
      emse-01725520; https://hal-emse.ccsd.cnrs.fr/emse-01725520; https://hal-emse.ccsd.cnrs.fr/emse-01725520/document; https://hal-emse.ccsd.cnrs.fr/emse-01725520/file/ciortea_WoT2017.pdf
    • الرقم المعرف:
      10.1145/3199919.3199924
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.2198E470