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Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science
Citation Link: https://doi.org/10.15480/882.14267
Publikationstyp
Journal Article
Date Issued
2024-12-18
Sprache
English
Author(s)
Bayerlein, Bernd
Waitelonis, Jörg
Birkholz, Henk
Schilling, Markus
v. Hartrott, Philipp
Bruns, Marian
Schaarschmidt, Jörg
Beilke, Kristian
Mutz, Marcel
Nebel, Vincent
Königer, Veit
Beran, Lisa
Vyas, Akhilesh
Vogt, Lars
Blum, Moritz
Ell, Basil
Chen, Ya Fan
Waurischk, Tina
Thomas, Akhil
Durmaz, Ali Riza
Ben Hassine, Sahar
Fresemann, Carina
Dziwis, Gordian
Beygi Nasrabadi, Hossein
Hanke, Thomas
Telong, Melissa
Pirskawetz, Stephan
Kamal, Mohamed
Bjarsch, Thomas
Pähler, Ursula
Hofmann, Peter
Leemhuis, Mena
Meyer, Lars Peter
Neugebauer, Jörg
Sack, Harald
Portella, Pedro Dolabella
Hickel, Tilmann
Mädler, Lutz
Gumbsch, Peter
TORE-DOI
Journal
Article Number
2401092
Citation
Advanced Engineering Materials: 2401092 (2024-12-18)
Publisher DOI
Scopus ID
Publisher
Wiley
This article describes advancements in the ongoing digital transformation in materials science and engineering. It is driven by domain-specific successes and the development of specialized digital data spaces. There is an evident and increasing need for standardization across various subdomains to support science data exchange across entities. The MaterialDigital Initiative, funded by the German Federal Ministry of Education and Research, takes on a key role in this context, fostering collaborative efforts to establish a unified materials data space. The implementation of digital workflows and Semantic Web technologies, such as ontologies and knowledge graphs, facilitates the semantic integration of heterogeneous data and tools at multiple scales. Central to this effort is the prototyping of a knowledge graph that employs application ontologies tailored to specific data domains, thereby enhancing semantic interoperability. The collaborative approach of the Initiative's community provides significant support infrastructure for understanding and implementing standardized data structures, enhancing the efficiency of data-driven processes in materials development and discovery. Insights and methodologies developed via the MaterialDigital Initiative emphasize the transformative potential of ontology-based approaches in materials science, paving the way toward simplified integration into a unified, consolidated data space of high value.
Subjects
data spaces | knowledge graphs | knowledge representations | materials science and engineering | Platform Materialdigital | semantic data integrations | semantic interoperabilities
DDC Class
620.1: Engineering Mechanics and Materials Science
Publication version
publishedVersion
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Adv Eng Mater - 2024 - Bayerlein - Concepts for a Semantically Accessible Materials Data Space Overview over Specific.pdf
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1.79 MB
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