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

Abstract

This paper discusses the requirements of situation identifi- cation 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 pre- vious 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 aggre- gated using the fuzzy Choquet operator for cmputing 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.