usage-control-policy

To evaluate ODRL 2.2 usage-control policies over RDF data, you can use this Skill to parse policies into a typed model and evaluate access requests against policy rules and duties to return ALLOW or DENY decisions.

Fine-grained access control with ODRL policies works by evaluating access requests against parsed RDF policy rules and duty obligations, determining whether to ALLOW or DENY access based on the specific request context.

Yes, you can gate conditional asset access using ODRL by evaluating request contexts against policy rules and duties, allowing you to restrict access based on purpose, recipient, time window, count, or duty obligations.

You need the sparq-policy, sparq-core, sparq-engine, and oxrdf dependencies installed to evaluate ODRL policies over RDF and execute access control evaluations within the sparq environment.

To parse ODRL policy RDF into a typed model, this Skill converts the RDF into structured permissions and prohibitions, evaluates incoming requests against these rules, and outputs a final ALLOW or DENY decision.

The best way to enforce conditional access control over RDF graphs is to evaluate ODRL 2.2 policies by parsing them into a typed model and checking if requests discharge duties and match rules for an ALLOW or DENY decision.