Contents:
- LinkML at a glance
- Quick Install Guide
- Tutorial
- Part 1: Creating your first LinkML schema
- Part 2: Adding a container object
- Part 3: Adding constraints and performing validation
- Part 4: Working with RDF
- Part 5: Using Python dataclasses
- Part 6: Enumerations
- Part 7: Slots and inheritance
- Part 8: Generating Projects
- Part 9: Working with SQL databases
- Part 10: Working with SQL databases
- LinkML Schemas
- Working with Data
- Generators
- How-to Guides
- LinkML Project Cookiecutter
- How to run a collaborative data modeling project
- How to recognize and work with different structural forms
- Using yq for querying and manipulating schemas
- Using JSON-LD
- How to model quantities and measurements
- Porting LinkML tools to other programming languages
- Multidimensional Arrays
- How to make a property graph schema
- How to Generate AI prompts
- Deprecating elements while maintaining PURLs and other URIs
- Examples of use
- The LinkML Ecosystem
- LinkML specification
- Contribution Guidelines
- FAQ
Developers guide:
LinkML Documentation#
Everything you need to know aboutLinkML, theLinked Data Modeling Language.
LinkML is a flexible modeling language that allows you to authorschemas in YAML that describe the structure of your data. Additionally, it is a framework for working with and validating data in a varietyof formats (JSON, RDF, TSV), with generators for compiling LinkMLschemas to other frameworks.
LinkML is open source (licensed under the Apache-2.0 license) and community-driven. You can find the code onGitHub.
Documentation#
Contents:
- LinkML at a glance
- Quick Install Guide
- Tutorial
- Part 1: Creating your first LinkML schema
- Part 2: Adding a container object
- Part 3: Adding constraints and performing validation
- Part 4: Working with RDF
- Part 5: Using Python dataclasses
- Part 6: Enumerations
- Part 7: Slots and inheritance
- Part 8: Generating Projects
- Part 9: Working with SQL databases
- Part 10: Working with SQL databases
- LinkML Schemas
- Working with Data
- Generators
- How-to Guides
- LinkML Project Cookiecutter
- How to run a collaborative data modeling project
- How to recognize and work with different structural forms
- Using yq for querying and manipulating schemas
- Using JSON-LD
- How to model quantities and measurements
- Porting LinkML tools to other programming languages
- Multidimensional Arrays
- How to make a property graph schema
- How to Generate AI prompts
- Deprecating elements while maintaining PURLs and other URIs
- Examples of use
- The LinkML Ecosystem
- LinkML specification
- Contribution Guidelines
- FAQ
Metamodel Reference#
The LinkML metamodel is itself described in LinkML. This model ishosted in thelinkml-modelrepository. Each element of the model has a URI of the formhttps://w3id.org/linkml/<ELEMENT>, shortened to the CURIElinkml:<ELEMENT>
The key schema elements are:
Developers#
If you are a developer looking to either contribute to the framework,or make use of any linkml package programmatically, this section isfor you:
Developers guide: