Unified Modeling of Quality of Context and Quality of Situation for Context-Aware Applications in the Internet of Things

  • Sophie ChabridonEmail author
  • Amel Bouzeghoub
  • Anis Ahmed-Nacer
  • Pierrick Marie
  • Thierry Desprats
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10257)


This paper discusses the requirements of situation identification in the Internet of Things and the necessity to consider the quality of the input context data during the inference process for deriving a situation and evaluating its resulting quality. We propose to extend previous works by integrating the QoCIM meta-model within the muSIC framework dedicated to situation identification. Situation identification is derived using an ontological approach and Quality criteria are aggregated using the fuzzy Choquet operator for computing the quality of a situation. This paper shows that QoCIM allows to model quality of context (QoC) as well as quality of situation in a unified approach.


Context Data Context Dimension Order Weight Average Situation Identification Ontological Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modelling and reasoning techniques. Pervasive Mob. Comput. 6, 161–180 (2009)CrossRefGoogle Scholar
  2. 2.
    Bouzeghoub, A., Do, K.N., Lecocq, C.: A situation-based delivery of learning resources in pervasive learning. In: Duval, E., Klamma, R., Wolpers, M. (eds.) EC-TEL 2007. LNCS, vol. 4753, pp. 450–456. Springer, Heidelberg (2007). doi: 10.1007/978-3-540-75195-3_36 CrossRefGoogle Scholar
  3. 3.
    Buchholz, T., Kupper, A., Schiffers, M.: Quality of context information: what it is and why we need it. In: 10th HPOVUA Workshop, Switzerland, July 2003Google Scholar
  4. 4.
    Choquet, G.: Theory of capacities. Annales de l’Institut Fourier 5, 131–295 (1953)MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    Grabisch, M., Kojadinovic, I., Meyer, P.: A review of methods for capacity identification in Choquet integral based multi-attribute utility theory. Eur. J. Oper. Res. 186(2), 766–785 (2008)CrossRefzbMATHGoogle Scholar
  6. 6.
    Guivarch, V., Camps, V., Péninou, A., Bouzeghoub, A.: Software integrating AMAS and ontologies for dynamic identification and learning of contextual situations. ANR INCOME, Deliverable 3.2, July 2015Google Scholar
  7. 7.
    Henricksen, K., Indulska, J.: Modelling and using imperfect context information. In: 1st CoMoRea PerCom 2004 Workshop. IEEE Computer Society, March 2004Google Scholar
  8. 8.
    Marie, P.: Gestion adaptative et efficiente de la qualité de contexte dans l’Internet des Objets (in French). Ph.D. thesis, ED 475 MITT, IRIT, Toulouse, October 2015Google Scholar
  9. 9.
    Marie, P., Desprats, T., Chabridon, S., Sibilla, M.: QoCIM: a meta-model for quality of context. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds.) CONTEXT 2013. LNCS (LNAI), vol. 8175, pp. 302–315. Springer, Heidelberg (2013). doi: 10.1007/978-3-642-40972-1_23 CrossRefGoogle Scholar
  10. 10.
    Marie, P., Desprats, T., Chabridon, S., Sibilla, M., Taconet, C.: From ambient sensing to IoT-based context computing: an open framework for end to end QoC management. Sensors 15(6), 14180–14206 (2015)CrossRefGoogle Scholar
  11. 11.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Sophie Chabridon
    • 1
    Email author
  • Amel Bouzeghoub
    • 1
  • Anis Ahmed-Nacer
    • 1
  • Pierrick Marie
    • 2
  • Thierry Desprats
    • 2
  1. 1.SAMOVAR, Télécom SudParis, CNRS Université Paris-SaclayÉvryFrance
  2. 2.Université of Toulouse, IRIT UMR 5505ToulouseFrance

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