DynO-IoT: a dynamic ontology for provisioning semantic interoperability in internet of things

A wide variety of devices and communication modules are emerging according to the specific requirements of various internet of things (IoT) applications. Provisioning semantic interoperability in this heterogeneous environment is a challenging task. Ontology provides a common platform for all the devices and applications available in a network. However, the existing ontologies are either very complex or unable to serve some specific requirements of IoT applications. Additionally, most of these are semantically static in nature. Addressing these concerns, we propose a semantically dynamic ontology for IoT, DynO-IoT which adapts to the static and dynamic IoT environments very easily. It supports all types of IoT devices and automatically adds new concepts to the ontology using machine learning techniques. The proposed model increases accuracy by 17% and reduces query response time by 35% approximately over the existing static ontologies.