Multi-dimensional contexts for querying IoT networks

The pervasiveness of smart objects in people daily life is increasing, as the capabilities of objects are becoming more and more sophisticated. Objects participate to the Internet of Thing (IoT) with changing contexts and scopes, thus resulting in the rise of multiple networks linked to each other to form a new paradigm, called Multi-IoTs (MIoT). Of course, cooperation strategies among objects must follow this innovative trend as classical strategies based on the concept of coexistence appear no more adequate. In this scenario, this paper proposes a contribution by introducing a complex model for devices and contexts that follows a knowledge representation approach. It adopts dimension hierarchies in the multidimensional perspective typical of OLAP systems to represent roll-up relationships between admissible members of the considered dimensions, enabling the retrieval of relevant objects through a supervised algorithm.