FEMS EUROMAT 2023
Poster
MatVis: A Framework to Visually Represent Material Science Engineering Methods and RDF Knowledge Graph Creation
AV

Dr. Andre Valdestilhas

Bundesanstalt für Materialforschung und -prüfung (BAM)

Valdestilhas, A. (Speaker)¹; Bayerlein, B.²; Hanke, T.³; Muth, T.²; Zia, G.²
¹Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin; ²Federal Institute for Materials Research and Testing, Berlin; ³Frannhofer, Berlin

An approach for visual representation of materials science methods and knowledge graph generation, which has become highly attractive for boosting research endeavours in the materials science and semantic web domain[1]. The work is presented in a framework format to visually organise the material science methods and generate an RDF knowledge graph[2,3] to allow users to obtain essential information, such as provenance, and reproduce the experiments. The framework is built using free platforms i.e., open-source and free software, such as diagrams.net[5] and Chowlk[4].

References

[1] B. Bayerlein Adv. Eng. Mater., 2022, 24, 2101176 1-14.

[2] T Berners-Lee, J Hendler, O Lassila - Scientific American, 2001, 284, 34–43.

[3] RDF specification. 2023. available at: https://www.w3.org/RDF/

[4] S Chávez-Feria, R García-Castro - The Semantic Web: 19th, 2022 - Springer.

[5] Diagrams.net. Available at: https://app.diagrams.net/

Abstract

Abstract

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