Bayerlein, BerndBerndBayerleinSchilling, MarkusMarkusSchillingBirkholz, HenkHenkBirkholzJung, MatthiasMatthiasJungWaitelonis, JörgJörgWaitelonisMädler, LutzLutzMädlerSack, HaraldHaraldSack2024-05-072024-05-072024https://publica.fraunhofer.de/handle/publica/46765610.1016/j.matdes.2023.112603Knowledge representation in the Materials Science and Engineering (MSE) domain is a vast and multi-faceted challenge: Overlap, ambiguity, and inconsistency in terminology are common. Invariant (consistent) and variant (context-specific) knowledge are difficult to align cross-domain. Generic top-level semantic terminology often is too abstract, while MSE domain terminology often is too specific. In this paper, an approach how to maintain a comprehensive MSE-centric terminology composing a mid-level ontology - the Platform MaterialDigital Core Ontology (PMDco) - via MSE community-based curation procedures is presented. The illustrated findings show how the PMDco bridges semantic gaps between high-level, MSE-specific, and other science domain semantics. Additionally, it demonstrates how the PMDco lowers development and integration thresholds. Moreover, the research highlights how to fuel it with real-world data sources ranging from manually conducted experiments and simulations with continuously automated industrial applications.enKnowledge representationMaterials science and engineeringOntologyReproducibilitySemantic data integrationSemantic interoperabilityDDC::600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaftenjournal article