The proliferation of sensor technology, along with advances in wireless communication and mobile devices, allow for context-aware applications. Those applications take into account the context of real world entities, such as a user's current location, physical environment, or even activity. They are able to act upon and adapt to changes in the real world and select and present information depending on the application's context. Since almost all application domains can benefit from context information, we envision most applications to be context-aware in the near future. Billions of sensors located in our physical environment collect a huge amount of context information. This information will be fed into numerous spatial context models building the basis for context-aware applications. The models may include stationary objects, like streets or buildings, as well as mobile objects, such as people or vehicles. The spatial models may differ in various ways, e.g., in topographical or topological nature, in different levels of detail, or in coverage of different areas and aspects of the real world. The IAAS sub-project E1 supports context aware applications in process oriented domains like for example in the smart factory. For this purpose interaction between applications and their superior processes are examined as well as new concepts and methods for context aware workflows are developed. Which allow the development of long running and complex context aware applications with the help of two-stage programming. The applications are aggregated from basic context aware services to context aware workflows. In a close collaboration with the applications sub-projects the work will be evaluated in concrete applications specific scenarios.


  • Institut für Formale Methoden der Informatik (FMI)
  • Institut für Industrielle Fertigung und Fabrikbetrieb (IFF)
  • Institut für Kommunikationsnetze und Rechnersysteme (IKR)
  • Institut für Maschinelle Sprachverarbeitung (IMS)
  • Institut für Parallele und Verteilte Systeme (IPVS)
  • Institut für Philosophie (IP)
  • Institut für Photogrammetrie (IFP)
  • Institut für Visualisierung und Interaktive Systeme (VIS)
  • Lehrstuhl für Unternehmens- und Technologieplanung, Universität Duisburg


Staff member

Name Raum Telefon eMail
Prof. Dr. Frank Leymann
1.359 +49 (0)711 7816 - 470 frank.leymann(at)
Dipl. Inf. Matthias Wieland
1.362 +49 (0)711 7816 - 235 wieland(at)