Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science
Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Lars-Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch
Advanced Engineering Materials, 2024
doi: 10.1002/adem.202401092
discovery-gemini-llm-reviewed-20260524
The article provides a comprehensive overview of the digital transformation within materials science and engineering, specifically focusing on the MaterialDigital Initiative funded by the German Federal Ministry of Education and Research. It discusses the use
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of ontologies and knowledge graphs to facilitate the integration of heterogeneous data, and prototypes application ontologies to enhance semantic interoperability.
Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Lars-Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch. (2024). Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science. Advanced Engineering Materials. doi:10.1002/adem.202401092
Added by matportal-botMay 24, 2026
Repositories
2
Repositorygithub.com
FraunhoferIGCV/ODE_AM
The primary GitHub repository for the ODE_AM project (Ontologies for the Optimization of Additive Manufacturing). It contains the structured framework of ontologies designed for semantic modeling of the additive manufacturing process.
GitHub repository for the ODE_AM project under the MaterialDigital organization, containing the OWL and TTL source files and documentation for the ontologies.
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