Investigating the Landscape of Ontologies for Catalysis Research Data Management

Authors

Alexander S. Behr TU Dortmund University https://orcid.org/0000-0003-4620-8248
Hendrik Borgelt TU Dortmund University
Taras Petrenko University of Stuttgart https://orcid.org/0000-0002-0049-4835
Mark Dörr University of Greifswald
Norbert Kockmann TU Dortmund University https://orcid.org/0000-0002-8852-3812

DOI:

https://doi.org/10.52825/cordi.v1i.232

Keywords:

Ontology Collection, Catalysis, Semantic Web, Classification

Abstract

This work provides a survey of ontologies for catalysis research to improve the findability, accessibility, interoperability, and reusability (FAIRness) of research data. Applying tools that are commonly used by lab scientists, ontologies relevant to catalysis research are classified in a simple, well formatted spreadsheet template (Excel). This enables a scientist and domain expert without programming skills to evaluate a certain ontology. The entries of this template are then processed and visualized through automated creation of markdown files on GitHub using Python scripts. Furthermore, ontology mapping by searching for similar pairs of classes across different ontologies is performed, using the outcome of the ontology classification. This work contributes to the development of ontologies for catalysis research, facilitating better data integration and knowledge sharing while reusing existing semantic artefacts.

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References

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Published

2023-09-07

How to Cite

Behr, A. S., Borgelt, H., Petrenko, T., Dörr, M., & Kockmann, N. (2023). Investigating the Landscape of Ontologies for Catalysis Research Data Management. Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.232

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Conference Proceedings Volume

Vol. 1 (2023): 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities

Section

Harmonizing RDM

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Received 2023-04-25
Accepted 2023-06-29
Published 2023-09-07

Funding data

Deutsche Forschungsgemeinschaft
Grant numbers NFDI/2-1 - 2021