NFDI4DSO：建立符合 BFO 标准的数据科学本体论

arXiv - CS - Databases Pub Date : 2024-08-16 DOI:arxiv-2408.08698

Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack

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引用次数: 0

摘要

NFDI4DataScience（NFDI4DS）项目旨在通过连接数字人工制品并确保其符合FAIR（可查找、可访问、可互操作和可重用）原则，提高数据科学（DS）和人工智能（AI）领域研究数据的可访问性和互操作性。为此，本海报介绍了 NFDI4DS 本体论，它描述了数据科学与人工智能领域的资源，并为 NFDI4DS 联盟的结构建模。该本体基于NFDICore本体并映射到基本形式本体（BFO），是目前正在开发的NFDI4DS知识图谱的基础。

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NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

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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arXiv - CS - Databases

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