- From: Wout Slabbinck <Wout.Slabbinck@Ugent.be>
- Date: Mon, 18 May 2026 11:13:52 +0200
- To: "public-odrl@w3.org" <public-odrl@w3.org>
Hey everybody, On Tuesday 12 May at 10, there was a hybrid meeting on the Formal Semantics of ODRL. Part of the discussion was also to recap future steps over the great work that has been presented at OPAL[1] the day prior, as well as the discussions held during the ODRL Tutorial [2], co-located with ESWC 2026 [3]. I went through all papers and explored several of the ideas raised during the discussions at ESWC, incorporating the results into the ODRL Landscape document [4]. Summary of the additions: * bpmn2odrl: Converts Business Process Model and Notation (BPMN) workflows into ODRL policies. * BAMBON: A learning-based negotiator that automatically negotiates ODRL based on the constraints imposed by the involved parties. * ODRL Atomization: Transforms compact ODRL policies with composite rules into policies with atomic rules. * ODRL Validator: Validates ODRL policies using SHACL and detects policy conflicts with Notation3 reasoning. * Risk Detector Application (risk-e-tos): Explores ODRL policy risk assessment and mitigation suggestions using Notation3 reasoning. * O-prime: Framework for transparent monitoring of personal data usage, policy violation detection, and provenance tracking in decentralized Solid ecosystems. * ODRL Engine: Python-based ODRL evaluator evaluating ODRL policies against a defined state of the world. If I missed anything, feel free to let me know or edit yourselves! Kind regards, Wout Slabbinck [1] ODRL and beyond: practical applications and challenges for policy-base access and usage control (OPAL 2026): https://opal-workshop.github.io/2026-2nd-edition/ [2] Policy Evaluation and Enforcement on the Web with ODRL: https://potr-knows.github.io/odrl-tutorial/ [3] ESWC 26: https://2026.eswc-conferences.org/ [4] ODRL Landscape: https://github.com/w3c/odrl/tree/master/landscape
Received on Monday, 18 May 2026 09:14:01 UTC