Remzi Celebi

Remzi Celebi

Assistant Professor at Maastricht University (DACS). Research in Knowledge Graphs, Semantic Web, and AI for personalized health and drug discovery.

Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science

Published in Clinical and Translational Science, 2022

Recommended citation: Unni, D.R., Moxon, S.A.T., Bada, M., Brush, M., Bruskiewich, R., Caufield, J.H., Celebi, R., et al. (2022). Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clinical and Translational Science, 15(8), 1848-1855. https://ascpt.onlinelibrary.wiley.com/doi/10.1111/cts.13302

The Biolink Model provides a universal schema and data model for representing and integrating biomedical knowledge graphs across clinical, biomedical, and translational science domains.

Citations: 115

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Unni, D.R., Moxon, S.A.T., Bada, M., Brush, M., Bruskiewich, R., Caufield, J.H., Celebi, R., et al. (2022). Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clinical and Translational Science, 15(8), 1848-1855.