NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866909289433530368 |
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| author | Gesese, Genet Asefa Waitelonis, Jörg Chen, Zongxiong Schimmler, Sonja Sack, Harald |
| author_facet | Gesese, Genet Asefa Waitelonis, Jörg Chen, Zongxiong Schimmler, Sonja Sack, Harald |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_08698 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | NFDI4DSO: Towards a BFO Compliant Ontology for Data Science Gesese, Genet Asefa Waitelonis, Jörg Chen, Zongxiong Schimmler, Sonja Sack, Harald Artificial Intelligence Databases 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. |
| title | NFDI4DSO: Towards a BFO Compliant Ontology for Data Science |
| topic | Artificial Intelligence Databases |
| url | https://arxiv.org/abs/2408.08698 |