BioReCer Deliverable D5.1 BioReCer platform reference architecture
With a core mission to enhance the environmental performance, traceability, and socialacceptance of bioproducts, BioReCer encompasses a comprehensive framework meant toredefine the way biological feedstocks are utilised. At the heart of this endeavour lies theBioReCer ICT Tool, a dynamic ecosystem that gathers cutting-edge technologies to bringforth a new era of bio-based industry practices. This deliverable is a first milestone on howto tackle the technical challenge behind accomplishing such an ambitious project.Therefore, in the overall architecture description part, we focus on how the ETSI NGSI-LDspecifications lay the groundwork for the entire architectural edifice. We describe the NGSI-LD information model, with its foundational concepts of Entity, Relationship, and Property.We also detail its API, exposed by the Stellio context broker, and how it allows us to providereal-time access to contextual information, fostering seamless collaboration amongstakeholders and data sources. The BioReCer ICT tool (BIT), is a digital cornerstone that extends the reach and scope ofthe project. Through its integration, the platform not only bridges the physical gaps butalso empowers stakeholders with real-time access to context-rich information. Thisinterplay between the physical and digital worlds creates a resource for decision-makingand sustainable practices. As we must first establish trust and security, we dive into concepts such as W3C VerifiableCredentials, Decentralized Identifiers (DID) and Distributed Ledger Technology (DLT). Wethen start thinking about how these connect with ISCC certificates, machine learning,artificial intelligence, and monetization. In this deliverable, we delve into the granular intricacies of the BioReCer technical platform.From the conceptual foundations rooted in ETSI NGSI-LD specifications to the data layerthat acts as the bedrock of insights, we describe each component's role and purpose. Wewill go through identified ontologies and data models, foreseen data sources, technicalcomponents, user interfaces and deployment strategies, that compose BioReCer's ICT tool,and that will enable traceability, and acceptance of bioproducts.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-18
- DOI
- https://doi.org/10.5281/zenodo.16092985
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00