Towards Improving Context Interpretation in the IoT Paradigm

Abstract

The enormous amount of sensor data created in the IoT environment compose the context for current business processes. IoT-awareness is therefore expected to be achieved to enhance BPM. For improving context interpretation in the IoT paradigm, this paper proposes to integrate sensor data as context information into process models. An integrated solution is presented with the methodology for constructing the solution. The methodology consists of three tasks: 1) IoT-aware context modeling using ontology techniques; 2) Process modeling integrated context information using Context Adaptive Petri Nets; 3) Linking context interpretation and BPM using business rule analysis.

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