QoC enhanced semantic IoT model

Abstract

The miniaturization of computers, coupled with a constant increase in computing power, led to the emergence of new sources of context information. We are facing a new paradigm, the Internet of Things (IoT). Today, this latter improves the quality of life in multiple areas. However, the heterogeneity of objects used in such environments makes their interoperability difficult. In addition, the observations produced by context providers (connected objects) are generated with different vocabularies and data formats. This heterogeneity of technologies in the IoT world makes it necessary to adopt generic solutions. Therefore, it is important to transform the raw data from these context producers into knowledge and information based on ontologies. The use of ontologies solves the challenges of heterogeneity and interoperability of IoT systems. In this paper, we propose a semantic IoT model that aims to overcome the semantic interoperability challenges introduced by the variety of objects potentially used in IoT systems. Furthermore, we enhanced this ontology with quality of context meta-data. These meta-data helps in dealing with imperfection and inconsistency of the collected IoT data.