NFDI4DSO Version 2: Towards A BFO Compliant Ontology for Data Science and AI
Abstract
This is a poster presented at CORDI 2025 The NFDI4DS ontology is an ontology describing various resources within the domain of NFDI4DataScience. nfdi4dso is a module that builds upon the NFDIcore Ontology and maintains alignment with the Basic Formal Ontology (BFO).
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Objectives NFDI4DSO Version 2: Towards A BFO Compliant Ontology for Data Science and AI ●Develop a BFO-compliant AI/DS ontology that spans the full research data lifecycle ●Maximize interoperability by reusing existing ontologies ●Build upon NFDICore-V3 ●Enable reproducibility, semantic search, and knowledge graph construction via explicit modeling of tasks, processes, metrics, and provenance. ●Evaluation ○Application-based ○Data-driven (corpus-based) ○User-based Future Work Genet Asefa Gesese, Zongxiong Chen, Heike Fliegl, Sonja Schimmler and Harald Sack, Presented at CORDI-2025, Aachen, Germany