Executable Python guides

Reason with RDF, rules, and policies.

Follow a practical path from one RDFLib inference to reusable OWL rules, model validation, unit normalization, and ODRL compliance.

Notebook 01

RDFLib graphs with pyling

Materialize one N3 rule and bring the inferred graph back into an ordinary Python application.

Notebook 02

Replace application-specific implications with the published Eyeling OWL 2 RL ruleset.

Notebook 03

Turn extracted claims into inspectable decisions and a review queue backed by RDF evidence.

Notebook 04

Keep message boundaries intact while maintained QUDT rules normalize each measurement automatically.

Notebook 05

Evaluate a complex access request against policy constraints, runtime state, and explicit evidence.