NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack
8/16/2024
cs.AIcs.DB

No official code found. Best implementation: GenetAsefa/LiterallyWikidata (4 stars, last commit 2023-06-18).

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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Code Implementations(1)

GenetAsefa/LiterallyWikidataCommunity100%
43Apr 19, 20213 years ago

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Cite this paper

@article{gesese2024nfdidso,
  title  = {NFDI4DSO: Towards a BFO Compliant Ontology for Data Science},
  author = {Genet Asefa Gesese and Jörg Waitelonis and Zongxiong Chen and Sonja Schimmler and Harald Sack},
  year   = {2024},
  eprint = {2408.08698},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.08698v1}
}

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