The integration of the huge data streams produced by the Industrial Internet of Things (IIoT) can provide invaluable knowledge in the context of Industry 4.0, and is also an open research issue. The present paper proposes a semantic approach to this issue, centered around the notion of process as the backbone. We build an ontology describing the fundamental elements involved in IIoT and their relations, and discuss the construction of the Process-aware IIoT Knowledge Graph, where raw sensor data are enriched with information about process activities and the physical production environment. We also propose a framework for querying the Knowledge Graph, and we demonstrate its capabilities by considering the production of metal accessories as case study.
Process-aware IIoT Knowledge Graph: A semantic model for Industrial IoT integration and analytics / Diamantini, Claudia; Mircoli, Alex; Potena, Domenico; Storti, Emanuele. - In: FUTURE GENERATION COMPUTER SYSTEMS. - ISSN 0167-739X. - 139:(2023), pp. 224-238. [10.1016/j.future.2022.10.003]