NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
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Abstract (arXiv)
The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and interoperability of research data within Data Science (DS) and Artificial Intelligence (AI) by connecting digital artifacts and ensuring they adhere to FAIR (Findable, Accessible, Interoperable, and Reusable) principles. To this end, this poster introduces the NFDI4DS Ontology, which describes resources in DS and AI and models the structure of the NFDI4DS consortium. Built upon the NFDICore ontology and mapped to the Basic Formal Ontology (BFO), this ontology serves as the foundation for the NFDI4DS knowledge graph currently under development.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 6 references that are in the map. First posted on arXiv 16 Aug 2024.
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- 2025NFDI4DS Shared Tasks for Scholarly Document Processingcited by 0
- 2025NFDI4DS Shared Tasks for Scholarly Document Processing26 Sep 2025