Published August 22, 2024
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NFDI4Ing Seed Fund 2022 Report: RDM-Workflows for construction engineering and architecture
Authors/Creators
Description
This is the final report for the NFDI4Ing Seed Funds project "RDM-Workflows for construction engineering and architecture – Development and integration of exemplary application profiles for timber construction data", proposed in 2022 by the University and State Library at the Technical University of Darmstadt and the Institute for Computational Design and Construction at the University of Stuttgart. One main result of the project was the developed the CSV-RDF-Mapper, a tool to convert tabular data (CSV) to RDF (turtle / text) utilizing the Shapes Constraint Language (SHACL).
Files
20240822_report_RDMWFCEAA_2022.pdf
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(1.5 MB)
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Additional details
Related works
- Documents
- Proposal: 10.5281/zenodo.7802980 (DOI)
Software
- Repository URL
- https://github.com/ULB-Darmstadt/csv-rdf-mapper
- Programming language
- TypeScript , Vue
- Development Status
- Concept
References
- Svatoš-Ražnjević, Hana; Menges, Achim, 2022, "Multi-storey Timber Buildings Data: Architectural and Structural Data on 350 Mass-Timber Projects from 2000-2021", https://doi.org/10.18419/darus-2733, DaRUS, V1, UNF:6:xlRfMRPJi3bK2P5FAkxLhw== [fileUNF]
- NFDI4Ing Metadata Profile Service: https://profiles.nfdi4ing.de/
- NFDI4Ing Data Ingest Service: https://ingest.nfdi4ing.de/