{"title":"NFDI4DSO：建立符合 BFO 标准的数据科学本体论","authors":"Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack","doi":"arxiv-2408.08698","DOIUrl":null,"url":null,"abstract":"The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and\ninteroperability of research data within Data Science (DS) and Artificial\nIntelligence (AI) by connecting digital artifacts and ensuring they adhere to\nFAIR (Findable, Accessible, Interoperable, and Reusable) principles. To this\nend, this poster introduces the NFDI4DS Ontology, which describes resources in\nDS and AI and models the structure of the NFDI4DS consortium. Built upon the\nNFDICore ontology and mapped to the Basic Formal Ontology (BFO), this ontology\nserves as the foundation for the NFDI4DS knowledge graph currently under\ndevelopment.","PeriodicalId":501123,"journal":{"name":"arXiv - CS - Databases","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NFDI4DSO: Towards a BFO Compliant Ontology for Data Science\",\"authors\":\"Genet Asefa Gesese, Jörg Waitelonis, Zongxiong Chen, Sonja Schimmler, Harald Sack\",\"doi\":\"arxiv-2408.08698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and\\ninteroperability of research data within Data Science (DS) and Artificial\\nIntelligence (AI) by connecting digital artifacts and ensuring they adhere to\\nFAIR (Findable, Accessible, Interoperable, and Reusable) principles. To this\\nend, this poster introduces the NFDI4DS Ontology, which describes resources in\\nDS and AI and models the structure of the NFDI4DS consortium. Built upon the\\nNFDICore ontology and mapped to the Basic Formal Ontology (BFO), this ontology\\nserves as the foundation for the NFDI4DS knowledge graph currently under\\ndevelopment.\",\"PeriodicalId\":501123,\"journal\":{\"name\":\"arXiv - CS - Databases\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Databases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.08698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Databases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.08698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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