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LinkML authors YAML schemas that compile and validate across JSON, RDF, and TSV

linkml documentation

LinkML documentation: a Linked Data Modeling Language for YAML schemas, multi-format validation, and generators into other frameworks.

Curated by Aramai Editorial

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linkml documentation

LinkML / Berkeley Bioinformatics Open Source Projects
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The LinkML docs describe a language for YAML schemas that capture data structure, plus tooling to validate and convert data in JSON, RDF, and TSV. Generators compile LinkML schemas into other frameworks; tutorials cover containers, constraints, RDF, dataclasses, enums, slots, inheritance, and SQL.

Content and data teams get one authoring surface instead of hand-maintaining parallel JSON Schema, OWL, and ORM models. Validation and generation reduce drift when the same meaning must ship to APIs, graphs, and warehouses.

That pattern matches governed shared meaning: a single schema source that projects into the shapes each system needs. LinkML’s bridge role—YAML in, multiple frameworks out—is exactly how semantic interoperability is often operationalized without forcing one runtime.

The docs also emphasize schema element metadata, URIs and mappings, semantic enumerations, imports, and a metamodel, which are the levers for aligning LinkML models with external vocabularies.

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Abstract

LinkML is a flexible modeling language for authoring YAML schemas that describe data structure. It is also a framework for working with and validating data in formats such as JSON, RDF, and TSV, with generators that compile schemas to other frameworks. It is Apache-2.0 licensed and community-driven.

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linkmlyaml schemasvalidationrdfjsongeneratorsmodelingSchemas & ShapesSemantic InteroperabilityOntology & TaxonomyData Engineering
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