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Ontology-Based Distributed Computing at the Edge

Prof. Uzma Kausar, Dr. Harish Joshi

Abstract


This paper explores novel facets of using an ontology-based approach to manage the behavior of Edge Computing devices. While ontology-driven methods are commonly employed to develop adaptive solutions within the Internet of Things (IoT) and ubiquitous computing environments, creating a comprehensive, user-friendly, and efficient ontology-driven Edge Computing framework remains a challenge. We introduce a new method that enables ontology reasoning directly on highly resource-constrained Edge devices, rather than relying on Fog or Cloud infrastructure. This approach allows for real-time adaptation of device functionality, on-the-fly monitoring of intermediate data, and improved interoperability within IoT ecosystems. Additionally, it facilitates the intelligent and dynamic transition from Machine-to-Machine communication to more Human-Centric IoT interactions. The practicality of our approach is demonstrated through the implementation of an ontology-based Smart Home edge device designed to assist in locating lost items. 

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References


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