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Applying the SAREF Ontology in Digital Twin Platform Development

Chitoraga, Daniel (2025) Applying the SAREF Ontology in Digital Twin Platform Development.

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Abstract:As Digital Twin technologies continue to evolve within cyber-physical systems, ensuring semantic interoperability is becoming increasingly vital—especially in dynamic, multi-device environments such as drone operations. This research explores the extent to which Microsoft Azure Digital Twins supports ontology-based semantic interoperability, using SAREF ontology as a reference framework, because it is an interoperability standard approved by ETSI and the European Commission. Building on previous study that created a Digital Twin for a drone, this research focuses on the ability of the platform to represent drone-related data—such as battery status, GPS location, and mission parameters—in a semantically consistent manner. A DJI Mini 2 drone will serve as the physical system for experimentation. The study involves applying SAREF for the development of a Digital Twin using Azure's Digital Twin Definition Language, which is a core element of the Azure Digital Twin platform. Through this process, the research aims to identify the challenges, trade-offs, and platform capabilities related to enabling semantic clarity and interoperability in ontology-driven Digital Twin implementations.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/107537
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