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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)

Abstract

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.

Keywords

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.

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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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