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  4. NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
 
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September 2024
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

Title Supplement
Published on arXiv
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.
Author(s)
Gesese, Genet Asefa
sl-0
Waitelonis, Jörg
sl-0
Chen, Zongxiong
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Schimmler, Sonja  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Sack, Harald
sl-0
Conference
International Conference on Semantic Systems 2024  
DOI
10.48550/arXiv.2408.08698
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Artificial Intelligence

  • Data Science

  • Knowledge Graph

  • NFDI4DS

  • Ontology

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