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MA: Fachverband Magnetismus

MA 34: Computational Magnetism I

MA 34.4: Vortrag

Mittwoch, 11. März 2026, 15:45–16:00, HSZ/0004

Ontology-driven Metadata for Multiscale Magnetism: The mammos-entity tool — •Andrea Petrocchi¹, Swapneel Amit Pathak¹, Martin Lang¹, Samuel J. R. Holt¹, Wilfried Hortschitz², Santa Pile², Martin Dobiasch², Thomas Schrefl², and Hans Fangohr¹ — ¹MPSD, Hamburg, Germany — ²UWK, Krems, Austria

In science numerical values are interpretable only when their units and semantic meanings are known. Ontologies are able to identify physical quantities (i.e. using unique labels) and the provenance of data (i.e. the source and process creating it). The magnetic materials ontology is developed within the MaMMoS project and defines magnetic material properties and their interrelationships across various length scales.

In this talk, we present the core capabilities and limitations of mammos-entity, a Python package focused on one essential subset of information (called entity) needed for reliable data exchange: value, unit, and ontology label. This package facilitates working with entities programmatically, streamlines reading and writing data enriched with units and ontology identifiers as metadata and improves FAIRness of data. The aim is to make semantic annotation of data simple enough for everyday use. The mammos-entity package emerges from the magnetism community but supports all quantities defined in the EMMO (https://emmc.eu/emmo/).

Acknowledgements: Supported by the EU Horizon Europe programme under grant agreement No. 101135546 (MaMMoS).

Keywords: Ontology; FAIR; Python; EMMO; MaMMoS