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The Cartographer
NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
August 16, 2024 Β· Declared Dead Β· π International Conference on Semantic Systems
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Authors
Genet Asefa Gesese, JΓΆrg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack
arXiv ID
2408.08698
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.DB
Citations
4
Venue
International Conference on Semantic Systems
Last Checked
4 months ago
Abstract
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.
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