Abstract

Edge computing paradigm allows computation to be moved from the central high powered Cloud or data center to the edge of the network. This paradigm often enables more efficient data processing near its source and sends only the data and knowledge that have value over the network. Our study focuses on performing semantic reasoning at the edge computing devices, which requires transferring ontologies to the edge devices. This paper presents different representations for transferring Web Ontology language (OWL) version 2 ontologies to the edge. We evaluate different representations in an experimental IoT system with edge nodes and compare lengths of different syntaxes and their computation effort of building models in Cloud and edge computing devices in terms of processing time.