A live context model for semantic reasoning in IoT applications
Daniel Del Gaudio, Boshra Ariguib, Arne Bartenbach, Georgios Solakis · 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) · 2022
Nowadays, the rapid increase of IoT devices and the corresponding high volume of produced data leads to a higher complexity of data analysis and context reasoning tasks. In the IoT, monitoring the context of an application, i.e., the involved devices sensors and actuators as well as their surroundings, is of vital importance. Ontologies can be used to model such context, nevertheless, they usually do not consider live information like sensor values and monitoring data. Yet, this is necessary to capture the full context of an IoT application. In this paper, we propose a context model that includes the current state of devices, composing their static information, such as device names, and live information gathered from monitoring systems and sensors. We further propose an extendable architecture to enrich the ontology with static and live data. Our approach can be extended by integrating different data sources and extending the context model.