RDF reification

Last updated Aug 11, 2023

aka types, data models, schemas, DDL

Metadata in the context of this article refers to some way to model data. Typically it captures primitive types (string, number), compound types (records, lists), relationship between models and some kind of documentation (to make sense of data).

Data models (or schemas) can include:

• Type systems, like TypeScript, Go, Java etc.
  • Including runtime data validators, like adonisjs/validator, io-ts, zod, joi, yup, ajv, superstruct
• Data serialisation schemas, like Pegaus, Avro, JSONSchema, Protocol Buffers
  • Including as part of API description or as event validators in Event-Driven architecture
• API description schemas, like OpenAPI, GraphQL, gRPC
• RDBMS schemas, like entity–relationship model
• Semantic Web standards, like RDF, RDFs, SHACL, OWL, adms, dcat
  • To be able to consume open ontologies, like LOV

Because data model is a graph. Or it can be a used to specify (validate) graph data.

• Categorical Query Language
  • Algebraic Property Graphs
  • Algebraic graphs
• LinkML
• Validating RDF Data
• https://dataspecer.com/
  • Model-driven approach for data schema definitions modeling
• https://typedefs.com/related/