TY - JOUR
T1 - The Linked Data Modeling Language (LinkML)
T2 - 2021 International Conference on Biomedical Ontologies, ICBO 2021
AU - Moxon, Sierra
AU - Solbrig, Harold
AU - Unni, Deepak
AU - Jiao, Dazhi
AU - Bruskiewich, Richard
AU - Balhoff, James
AU - Vaidya, Gaurav
AU - Duncan, William
AU - Hegde, Harshad
AU - Miller, Mark
AU - Brush, Matthew
AU - Harris, Nomi
AU - Haendel, Melissa
AU - Mungall, Christopher
N1 - Funding Information:
This work is supported in part by the Genomic Science Program in the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research (BER) under contract number DE-AC02-05CH112(LBN3L). A1dditional support was provided by NIH OD R4 OD2011883, NHGRI Center of Excellence in Genome Sciences R1 HMG010860, NHGRI 5U01HG00-03,9and4NCI IA5A 3 #ACO201-070-00000.01
Publisher Copyright:
© 2021 Copyright for this paper by its authors.
PY - 2021
Y1 - 2021
N2 - Data integration is a major challenge in the life sciences, due to heterogeneity, complexity, the proliferation of ad-hoc formats and data structures, and poor compliance with FAIR guidelines. The Linked data Modeling Language (LinkML, https://linkml.github.io) is an object-oriented data modeling framework that aims to bring semantic web standards to the masses, simplifying the production of FAIR ontology-ready data. It can be used for schematizing a variety of kinds of data, ranging from simple flat checklist-style standards to complex interrelated normalized data utilizing polymorphism/inheritance. Although it is still a young and evolving standard, LinkML is already in use across a wide variety of projects with different applications including cancer data harmonization, environmental genomics, and knowledge graph integration.
AB - Data integration is a major challenge in the life sciences, due to heterogeneity, complexity, the proliferation of ad-hoc formats and data structures, and poor compliance with FAIR guidelines. The Linked data Modeling Language (LinkML, https://linkml.github.io) is an object-oriented data modeling framework that aims to bring semantic web standards to the masses, simplifying the production of FAIR ontology-ready data. It can be used for schematizing a variety of kinds of data, ranging from simple flat checklist-style standards to complex interrelated normalized data utilizing polymorphism/inheritance. Although it is still a young and evolving standard, LinkML is already in use across a wide variety of projects with different applications including cancer data harmonization, environmental genomics, and knowledge graph integration.
KW - JSON-schema
KW - Ontology
KW - RDF
KW - Semantic web
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M3 - Conference article
AN - SCOPUS:85124428968
SN - 1613-0073
VL - 3073
SP - 148
EP - 151
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 16 September 2021 through 18 September 2021
ER -