Tutorial

Contents:

• Part 1: Creating your first LinkML schema
  • Your first schema
  • Converting to JSON-Schema
  • Creating and validating data
  • Working with JSON
  • Converting to RDF
  • Exercises
  • Next: Collections of data
• Part 2: Adding a container object
  • Example data file
  • Nesting lists of objects
  • Validating
  • Visualizing
  • Exercises
  • Further reading
  • Next
• Part 3: Adding constraints and performing validation
  • Example schema
  • Example data
  • Exercises
  • Using the JSON Schema directly
  • Other validation strategies
  • Further reading
• Part 4: Working with RDF
  • Example schema
  • Adding URIs to our schema
  • JSON-LD contexts
  • Using Shape Languages
  • More Info
• Part 5: Using Python dataclasses
  • Generating a Python datamodel
  • The LinkML runtime
  • Alternatives
  • Further reading
  • Next
• Part 6: Enumerations
  • Mapping Enums to vocabularies
  • Use in Python
  • Further reading
• Part 7: Slots and inheritance
  • Slots and attributes
  • Inheritance
  • Customizing slots in the context of classes: Slot Usage
• Part 8: Generating Projects
  • Example
  • See Also
• Part 9: Working with SQL databases
  • Converting LinkML Schemas to DDL
  • Using a SQL database as a backend for data
  • Object Relational Mapping (ORMs)
• Part 10: Working with SQL databases
  • Converting LinkML Schemas to DDL
  • Using a SQL database as a backend for data
  • Object Relational Mapping (ORMs)

The tutorial is evolving, some things that will be covered in future versions:

• Generating schemas from:

  • JSON Schema

  • OWL Ontologies

  • Instance data in JSON, TSV/spreadsheets, RDF

• SQL databases

• Using LinkML to organize spreadsheets

• Change objects and diffs

• Query APIs