MSE 2024
Lecture
25.09.2024
Integration of Linked Open Data in Materials Science and Engineering (MSE)
EN

Ebrahim Norouzi (M.Sc.)

FIZ Karlsruhe - Leibniz Institut für Informationsinfrastruktur

Norouzi, E. (Speaker)¹; Waitelonis, J.¹; Azocar Guzman, A.²; Fathalla, S.²; Zainul Ihsan, A.²; Hofmann, V.²; Gedsun, A.³; Fliegl, H.¹; Sandfeld, S.²; Sack, H.¹
¹FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen; ²Forschungszentrum Jülich GmbH; ³Albert-Ludwigs Universität Freiburg
Vorschau
17 Min. Untertitel (CC)

Linked Open Data (LOD) offers significant advantages for the Materials Science and Engineering (MSE) domain, promoting interoperability, collaboration, and efficient knowledge discovery. Leveraging these benefits, the Materials Science and Engineering Knowledge Graph (MSE-KG) version 1.0 [1] serves as a comprehensive representation of resources within the NFDI-MatWerk [2] consortium, capturing the MatWerk organization, contributing organizations and institutions, people, expertises, MatWerk infrastructure and service. In advancing to MSE-KG version 2.0, we introduce the integration of the MSE-KG v1.0 (research information graph) and index data of the NFDI-MatWerk data resources (research data graph). The research data graph contains an index of all research data resources of NFDI-MatWerk ranging from fully-fledged Linked Open Data (LOD) resources, over structured data resources (legacy data resources), wikibase resources as well as FAIR digital objects (FDOs) [3]. However, bridging these two components is not without its challenges and difficulties, especially for domain experts working on MSE. Challenges include developing ontologies, establishing guidelines, and addressing modeling issues relevant to LOD.

To implement linked data in the MSE domain, it is crucial to collaborate with domain experts for the successful construction of the research data graph. The MSE domain experts play a crucial role in shaping the LOD landscape within MSE by contributing their research data and actively participating in the modeling process. The collaborative effort aims to seamlessly integrate domain-specific knowledge into the MSE-KG. Accordingly, the NFDI-MatWerk LOD Working Group [4] is required where domain experts can seek assistance, share experiences, and collectively address the challenges encountered when working with or towards LOD in the MSE domain. This working group is part of the Infrastructure Use Case 12 (IUC12) [5] about alignment of application and higher level ontologies within the NFDI-MatWerk project.


References
[1] https://demo.fiz-karlsruhe.de/matwerk/
[2] https://nfdi-matwerk.de/
[3] https://github.com/GEDE-RDA-Europe/GEDE/tree/master/FAIR%20Digital%20Objects
[4] https://iuc12-nfdi-matwerk-ta-oms-7fd4826d9051b0dd93b21aa77d06d1d8c71c4.pages.rwth-aachen.de/
[5] https://nfdi-matwerk.de/infrastructure-use-cases/iuc12-alignment-of-application-and-higher-level-ontologies

Abstract

Abstract

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