NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

Genet Asefa Gesese; Harald Sack; J\"org Waitelonis; Sonja Schimmler; Zongxiong Chen

REVIEW

NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2408.08698 v1 pith:WTAH72B6 submitted 2024-08-16 cs.AI cs.DB

Genet Asefa Gesese , Jörg Waitelonis , Zongxiong Chen , Sonja Schimmler , Harald Sack This is my paper · ORCID

classification cs.AIcs.DB

keywords ontologynfdi4dsdatascienceaccessibilityaccessibleadhereaims

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original 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.

Discussion (0). Continue with ORCID to comment.

Pith tools