Supporting Medicines Manufacturing through Semantic Technologies |
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| Nina Perić, Moulham Alsuleman, João Gregório, Paul Duncan, Michael Chrubasik |
- Abstract:
- Pharmaceutical manufacturing involves complex, highly regulated processes that generate large volumes of heterogenous data. While highly valuable, this data is often siloed across systems and not easily interoperable, limiting its useability for provenance, advanced analytics and AI as well as automated decision-making processes. This paper presents a semantic technology driven use case to address these issues through the integration of a pharma-based digital architecture with established domain ontologies to support intuitive, semantically rich queries over manufacturing data. The work presented lays the structural groundwork to integrate sensor and event-based observations, linking them to higher-level domain structures in the future using ontologies such as SSN and the Industrial Ontologies Foundry ontology stack, a key requirement for a fully digitalised, interoperable and linked industrial workflow promoting industry 4.0 principles.
- Download:
- IMEKO-TC6-2025-029.pdf
- DOI:
- 10.21014/tc6-2025.029
- Event details
- IMEKO TC:
- TC6
- Event name:
- TC6 M4Dconf2025
- Title:
2025 IMEKO TC-6 International Conference on Metrology and Digital Transformation
- Place:
- Benevento, ITALY
- Time:
- 03 September 2025 - 05 September 2025