The Internet of Things as a semantic infrastructure – integration of sensor data with distributed knowledge systems in Edge – cloud environments

Abstract

The rapid growth of the Internet of Things (IoT)
generates large volumes of heterogeneous and context-dependent
data from distributed sensing devices, posing challenges for
integration and analysis. This paper proposes a conceptual model
of IoT as a semantic infrastructure, integrating sensor data with
distributed knowledge systems in edge–cloud environments. The
approach utilizes semantic technologies, including RDF, OWL,
and SSN/SOSA ontologies, to enable unified data representation
and contextual enrichment. The proposed model improves
interoperability, supports efficient distributed processing, reduces
latency, and enhances scalability, enabling the development of
intelligent and adaptive IoT systems.