Review and Alignment of Domain-Level Ontologies for Materials Science
The growing complexity and interdisciplinary nature of Materials Science research demand
efficient data management and exchange through structured knowledge representation …
efficient data management and exchange through structured knowledge representation …
[HTML][HTML] Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control
The demand for advanced battery management systems (BMSs) and battery test procedures
is growing due to the rising importance of electric vehicles (EVs) and energy storage …
is growing due to the rising importance of electric vehicles (EVs) and energy storage …
Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative
S Bekemeier, CR Caldeira Rêgo… - Advanced …, 2025 - Wiley Online Library
The MaterialDigital initiative represents a major driver toward the digitalization of material
science. Next to providing a prototypical infrastructure required for building a shared data …
science. Next to providing a prototypical infrastructure required for building a shared data …
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem
This work presents the MarketPlace Agent and Expert Ontology (MAEO), an ontology for
modeling experts, expertise, and more broadly, knowledge providers and knowledge …
modeling experts, expertise, and more broadly, knowledge providers and knowledge …
[PDF][PDF] Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies
The effectiveness of semantic technologies in ensuring interoperability is often hindered by
the preference for internally developed knowledge bases and the presence of diverse …
the preference for internally developed knowledge bases and the presence of diverse …