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
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;
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
Print_ISBN :
978-1-4799-0862-2
DOI :
10.1109/ETFA.2013.6647948