Consortium
Join an alliance of experts
Semantic Materials is developing a consortium of experts — in materials science, physics, chemistry, computer science and applied philosophy — dedicated to advancing knowledge through interdisciplinary collaboration.
We are keen to grow partnerships with research institutions, industry leaders, and academic bodies to co-create industry-standard reference ontologies that enhance research and industry practices and drive collaboration, co-innovation and productivity.
- Help build interoperable knowledge systems that benefit all areas of materials science
- Build domain ontologies that meet industry standards
- Have your say on development plans and learn from peers
- Work with semantic technology partners and EMMO experts

How we work
We draw on the collaborative development of EMMO and EMMO-based ontologies in a range of fields and applications, including materials characterisation, modelling workflows, battery research, additive manufacturing and nuclear materials.
Join us to help the materials science community towards a bright future of discovery and development.
Our consortium partners
The University of Bologna, Italy, is the oldest in the world with a proven track record in materials science and engineering.
SINTEF, Norway is known for its expertise in semantic technologies to enhance data interoperability, integration, and intelligent information processing.
News and events
Semantic Materials Workshop 2025
Announcing Semantic Materials Workshop 2025. The next event in this series will take place on Monday 10 November 2025.
Monday 10 November, 2025
MSE2026 Abstract deadline approaching fast
Gerhard Goldbeck is co-organising two symposia at MSE2026. Have you submitted your abstract yet?
29 September–1 October 2026
Semantic Data Management Maturity Survey Report
This report is a first evaluation of initial responses received for the Semantic Data Management Maturity Assessment Service survey
Key facts
The market for semantic technologies across all sectors is rapidly growing as more industries adopt these new strategies
28%
REDUCTION IN TIME TO PRODUCT LAUNCH100%
SCALABLE AND INTEROPERABLE WITH FUTURE DATA70%
REDUCTION IN DATA DISCOVERY AND MANAGEMENT COSTSAcknowledgements
The OntoTrans project received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 862136
The OpenModel project received funding from the Horizon 2020 Industrial Leadership Project under Grant Agreement No 953167











