TY  - CONF
A1  - Schilling, Markus
T1  - Data-Driven Materials Science: Reproducibility and Standardization
N2  - Advancing development and digitalization in materials science requires to focus on quality assurance, interoperability, and compliance with FAIR principles. Semantic technologies offer effective solutions for these challenges by enabling the storage, processing, and contextualization of data in machine-actionable and human-readable formats – essential for robust data management.
This presentation highlights the PMD Core Ontology 3.0 (PMDco 3.0), developed specifically for the field of materials science and engineering, and its implementation within generic knowledge representation frameworks. Demonstrators such as standardized mechanical testing, material processing workflows, and the Orowan Demonstrator exemplify the ontology’s practical applications. The use of graph patterns, able to be compiled into rule-based semantic shapes, supports a unified and automated approach to managing heterogeneous experimental data across domains.
T2  - Persson Group Seminar
CY  - Berkeley, CA, USA
DA  - 23.06.2025
KW  - Semantic Data
KW  - Data Integration
KW  - Digitalization
KW  - Data Interoperability
KW  - PMD Core Ontology
KW  - Graph Patterns
PY  - 2025
AN  - OPUS4-63484
LA  - eng
AD  - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany
ER  -