Smart Configuration of Smart Environments

Simon Mayer, Ruben Verborgh, Matthias Kovatsch, Friedemann Mattern

Research output: Contribution to journalArticlepeer-review


One of the central research challenges in the Internet of Things and Ubiquitous Computing domains is how users can be enabled to “program” their personal and industrial smart environments by combining services that are provided by devices around them. We present a service composition system that enables the goal-driven configuration of smart environments for end users by combining semantic metadata and reasoning with a visual modeling tool. In contrast to process-driven approaches where service mashups are statically defined, we make use of embedded semantic API descriptions to dynamically create mashups that fulfill the user's goal. The main advantage of our system is its high degree of flexibility, as service mashups can adapt to dynamic environments and are fault-tolerant with respect to individual services becoming unavailable. To support users in expressing their goals, we integrated a visual programming tool with our system that allows to model the desired state of a smart environment graphically, thereby hiding the technicalities of the underlying semantics. Possible applications of the presented system include the management of smart homes to increase individual well-being, and reconfigurations of smart environments, for instance in the industrial automation or healthcare domains.
Original languageEnglish
Pages (from-to)1247-1255
Number of pages9
JournalIEEE Transactions on Automation Science and Engineering
Issue number3
Publication statusPublished - 2016
Externally publishedYes

Fields of Expertise

  • Information, Communication & Computing
  • Mobility & Production


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