• DocumentCode
    1947980
  • Title

    Linked data as enabler for mobile applications for complex tasks in industrial settings

  • Author

    Graube, Markus ; Ziegler, Jens ; Urbas, Leon ; Hladik, Jan

  • Author_Institution
    Inst. of Autom., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Nowadays, apps provide support for various simple tasks. They are easy to use and highly usable. However, future apps should support more complex workflows especially when trying to enter the professional business world. They need to provide higher reusability and composability in order to make them suitable for complex and alterable workflows that are common in industry. The concept of App Orchestration allows supporting complex tasks with aid of an ensemble of adapted and managed apps. Therefore, the apps raise several demands on the underlying information backend. This article describes these requirements and presents the Linked Data approach, which is a possible methodology for an integrated, semantically described information space for this purpose. It describes possible uses and benefits for the concept of App Orchestration and shows them in a use case of mobile maintenance. It further discusses the current status of the approach and provides future research challenges.
  • Keywords
    Internet; industrial engineering; mobile computing; workflow management software; App Orchestration; app composability; app reusability; complex tasks; industrial settings; linked data approach; mobile applications; mobile maintenance; professional business world; Adaptation models; Business; Maintenance engineering; Mobile communication; Navigation; Ontologies; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6647948
  • Filename
    6647948