Ontology modelling for materials science experiments

Mehwish Alam; Henk Birkholz; Danilo Dessì; Christoph Eberl; Heike Fliegl; Peter Gumbsch; Philipp von Hartrott; Lutz Mädler; Markus Niebel; Harald Sack; Akhil Thomas

Ontology modelling for materials science experiments

Mehwish Alam, Henk Birkholz, Danilo Dessì, Christoph Eberl, Heike Fliegl, Peter Gumbsch, Philipp von Hartrott, Lutz Mädler, Markus Niebel, Harald Sack, Akhil Thomas

Research output: Contribution to journal › Conference article › peer-review

Abstract

Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2941
Publication status	Published - 1 Jan 2021
Externally published	Yes
Event	2021 Joint of the Poster and Demo Track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins, Semantics P and Ds 2021 - Amsterdam, Netherlands Duration: 6 Sept 2021 → 9 Sept 2021

Keywords

Data curation
Materials science
Ontology design

Cite this

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title = "Ontology modelling for materials science experiments",

abstract = "Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments.",

keywords = "Data curation, Materials science, Ontology design",

author = "Mehwish Alam and Henk Birkholz and Danilo Dess{\`i} and Christoph Eberl and Heike Fliegl and Peter Gumbsch and \{von Hartrott\}, Philipp and Lutz M{\"a}dler and Markus Niebel and Harald Sack and Akhil Thomas",

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journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - Ontology modelling for materials science experiments

AU - Alam, Mehwish

AU - Birkholz, Henk

AU - Dessì, Danilo

AU - Eberl, Christoph

AU - Fliegl, Heike

AU - Gumbsch, Peter

AU - von Hartrott, Philipp

AU - Mädler, Lutz

AU - Niebel, Markus

AU - Sack, Harald

AU - Thomas, Akhil

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments.

AB - Materials are either enabler or bottleneck for the vast majority of technological innovations. The digitization of materials and processes is mandatory to create live production environments which represent physical entities and their aggregations and thus allow to represent, share, and understand materials changes. However, a common standard formalization for materials knowledge in the form of taxonomies, ontologies, or knowledge graphs has not been achieved yet. This paper sketches the efforts in modelling an ontology prototype to describe Materials Science experiments. It describes what is expected from the ontology by introducing a use case where a process chain driven by the ontology enables the curation and understanding of experiments.

KW - Data curation

KW - Materials science

KW - Ontology design

M3 - Conference article

AN - SCOPUS:85114673969

SN - 1613-0073

VL - 2941

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2021 Joint of the Poster and Demo Track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins, Semantics P and Ds 2021

Y2 - 6 September 2021 through 9 September 2021

ER -

Ontology modelling for materials science experiments

Abstract

Keywords

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