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 - 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 -