DOME 4.0 intends to offer an intelligent semantic industrial data ecosystem for knowledge creation across the entire materials to manufacturing value chains. The ecosystem provides a sustainable solution to the information silos problem related to the past efforts and puts forward a formal, ontology-based documentation for open and confidential data spaces applicable to future and current projects thereby delivering added value. Furthermore, the flexibility of the proposed semantic architecture of DOME 4.0 naturally adapts to the emerging Industry Commons developments and the scale-up of the ecosystem to large amounts of data, tools and services applicable to wider sectors of the European economy.
The unique offerings of DOME 4.0 are twofold. Primarily, to instigate wider market impact, stakeholder adoption and engagement, while aggregating a critical mass community in the DOME 4.0 ecosystem than the individual-encompassed showcases would ever achieve alone. In parallel, the DOME 4.0 exemplified, novel business models cross cutting the individual marketplaces, complemented with transparent and fair compensation schemes will augment the operations and effectiveness by adding value to the individual marketplaces, data repositories and platforms.
This showcase entails CMCL’s chemistry knowledge graph (KG) and provides a consistent framework to store, access and interpret vastly growing chemical data, marine emissions data, location data and air quality data, in an intelligent manner using the DOME 4.0 ecosystem.
Predicting the fatigue life of adhesively bonded structures is an important aspect of the design and process optimisation in many industrial applications, including aircraft, railway and other engineering sectors.
The MARKET4.0 project coordinated by INTRA aims at implementing an e-marketplace for industrial equipment trading based on a peer-to-peer Industrial Data Space (IDS)-based infrastructure, providing key enabling technologies in terms of communication and collaboration in advanced multisided platforms.
Materials Cloud is a web platform built to enable the seamless sharing and dissemination of resources in computational materials science, offering educational, research, and archiving tools; simulation software and services; and curated and raw data.
This use case concerns data-oriented services for process data technology in liquid-phase thermodynamics, improving the production and design of formulated products in fast-moving consumer goods sectors (industrial end user: Unilever).
Smart manufacturing aims at plants with fully computerised and automated production processes. Such degree of automation requires constant analytics manufacturing assets that includes monitoring, diagnostics, and optimisation of production assets such assembly lines and manufacturing robots.
This showcase deals with the virtual development of composite materials in a machine learning framework. Such materials are of key importance, for instance, for the automotive market. However, to facilitate accessibility and broad adoption of advanced machine learning tools by companies developing materials, user-friendly, integrated workflows need to be developed.
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