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Situation model as interface between situation recognition and situation-aware applications

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Computer Science - Research and Development

Abstract

The upcoming of internet of things draws interest of many companies and leads to the creation of smart environments. The foundation necessary for this purpose lies in the integration of sensors, which continuously provide context data of their environment. Based on this context, changes of state in the environment, i.e., situations, can be detected. However, with the huge amount of heterogeneous context and its processing, new challenges arise. Simultaneously, the dynamic behavior of the environment demands automated mechanisms for applications to adapt to the situations automatically and in a timely manner. To meet this challenge, we present (1) the situation model as a data model for integrating all data related to situation recognition, and (2) the management and provisioning of situations based on this situation model to further decouple situation recognition and applications adapting to recognized situations. Furthermore, we present a prototypical implementation of the situation model and its management.

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Notes

  1. https://www.fiware.org/.

  2. https://nodejs.org/en/.

  3. http://expressjs.com/.

  4. http://swagger.io/.

  5. http://couchdb.apache.org/.

  6. https://www.mongodb.org/.

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Authors and Affiliations

  1. Institute of Parallel and Distributed Systems, University of Stuttgart, Universitaetsstr. 38, 70569, Stuttgart, Germany

    Mathias Mormul, Pascal Hirmer, Matthias Wieland & Bernhard Mitschang

Authors
  1. Mathias Mormul
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  2. Pascal Hirmer
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  3. Matthias Wieland
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  4. Bernhard Mitschang
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Corresponding author

Correspondence to Mathias Mormul.

Additional information

This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Grant 610872, project SitOPT.

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Mormul, M., Hirmer, P., Wieland, M. et al. Situation model as interface between situation recognition and situation-aware applications. Comput Sci Res Dev 32, 331–342 (2017). https://doi.org/10.1007/s00450-016-0335-2

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  • DOI: https://doi.org/10.1007/s00450-016-0335-2

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