@article{https://doi.org/10.1002/adem.71106,
author = {Schilling, Markus and von Hartrott, Philipp and Waitelonis, Jörg and Hanke, Thomas and Birkholz, Henk and Nasrabadi, Hossein Beygi and Razghandi, Khashayar and Zaripova, Kamilla and Thonagel, Felix and Neuhaus, Fabian and Glauer, Martin and Vogt, Lars and Sack, Harald and Mädler, Lutz and Bayerlein, Bernd and Eberl, Chris},
title = {Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0},
journal = {Advanced Engineering Materials},
volume = {n/a},
number = {n/a},
pages = {e71106},
keywords = {knowledge graphs, plattform materialdigital, PMD core ontology, semantic data, semantic modeling},
doi = {https://doi.org/10.1002/adem.71106},
url = {https://advanced.onlinelibrary.wiley.com/doi/abs/10.1002/adem.71106},
eprint = {https://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/adem.71106},
abstract = {Materials Science and Engineering (MSE) increasingly relies on data-intensive, automated, and distributed workflows that span synthesis, manufacturing, characterization, design, and simulation. These settings require machine-actionable representations of materials and processes that remain interoperable across laboratories, software stacks, and organizations. Therefore, Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a mid-level ontology that provides a semantic framework for the processing–structure–properties paradigm in MSE. PMDco 3.0 adopts an architecture aligned with the Basic Formal Ontology that enables a logically consistent classification of fundamental MSE concepts and the explicit representation of intrinsic material properties, contextual roles and functions, and related information artifacts. The work outlines the technical curation approach that supports sustainable ontology evolution through reproducible builds, automated release generation, and systematic validation workflows. Representative semantic patterns are presented as reusable building blocks for consistent modeling and data mapping, including material object duality, intensive versus extensive qualities, role and function assignment, immaterial entities for spatial context, process modeling across production, assay, and computation, and the separation of requirements from observations via set points and measurements. PMDco 3.0 is intended to serve as a community-driven anchor for interoperable domain and application ontologies and scalable semantic interoperability in MSE.}
}