A Multi-Level Architecture for Reusable Materials Ontologies -- The OntoCrafter Ceramics Ontology (OCO) as Reference Implementation

arXiv:2606.14814v1 Announce Type: cross Abstract: The Materials Science and Engineering ontology landscape is fragmented along multiple axes simultaneously. Horizontally: a recent survey identified 94 ontologies of which over 40 are structurally incompatible; each new application domain -- ceramics, polymers, batteries, smart materials -- typically restarts ontology design from scratch. Vertically: EU regulation (CSRD, CSDDD, PPWR, CBAM, R2R, AI Act, ESPR) forces material, manufacturing, supply-chain, and lifecycle data into integrated digital product passports, leaving ontologies that only ad
The proliferation of digital product passports mandated by EU regulations accelerates the need for harmonized material ontologies, making the current fragmentation unsustainable.
A standardized materials ontology can unlock significant efficiencies in R&D, supply chain management, and regulatory compliance, impacting diverse industrial sectors relying on advanced materials.
The development of multi-level, reusable materials ontologies, exemplified by OCO, marks a move towards interoperability and reduces the need for bespoke ontology creation across material science applications.
- · Materials science and engineering companies
- · AI/data science platforms
- · Regulatory bodies
- · Manufacturing sector
- · Proprietary materials data systems
- · Companies with fragmented data architecture
- · Researchers without access to standardized ontologies
Improved data exchange and integration across the materials lifecycle, from design to end-of-life.
Accelerated discovery of new materials and optimization of existing ones due to better data accessibility and AI integration.
Enhanced regulatory compliance and transparency for materials, potentially creating new global standards for material data exchange.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.AI