The Linked Data Modeling Language (LinkML): A General-Purpose Data Modeling Framework Grounded in Machine-Readable Semantics - researchr publication authors

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Sierra A. T. Moxon, Harold Solbrig, Deepak R. Unni, Dazhi Jiao, Richard M. Bruskiewich, James P. Balhoff, Gaurav Vaidya, William D. Duncan, Harshad Hegde, Mark Miller, Matthew H. Brush, Nomi L. Harris, Melissa A. Haendel, Christopher J. Mungall. The Linked Data Modeling Language (LinkML): A General-Purpose Data Modeling Framework Grounded in Machine-Readable Semantics. In Janna Hastings, Adrien Barton, editors, Proceedings of the International Conference on Biomedical Ontologies 2021 co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021), Bozen-Bolzano, Italy, 16-18 September, 2021. Volume 3073 of CEUR Workshop Proceedings, pages 148-151, CEUR-WS.org, 2021. [doi]

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