A Formally Grounded ODRL Evaluator: Implementation and Comparison
The ODRL policy language is emerging as the de-facto standard for policy modelling data access and usage preferences, AI governance policies and data workflows in European dataspaces. The current standard has no mathematical formal semantics to describe how a system should implement policy evaluation. This has resulted in a variety of systems and tools that implement their own interpretation of the language, which limits interoperability and cannot guarantee consistent results. Based on an existing semantic model of ODRL, we formalise the problems of ODRL evaluation for the access control and
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- PossiblePossibly related (embedding) · 47%AI and the future of acceptable use policies - McAfee & Taft →
- PossiblePossibly related (embedding) · 46%Managing third-party model risk and AI dependencies - Security Boulevard →
- PossiblePossibly related (embedding) · 45%Least privilege for AI agents: Identity, access, and tool binding - Microsoft →
- LinkedLinked via arxiv author · 85%Jaime Osvaldo Salas →
“A Formally Grounded ODRL Evaluator: Implementation and Comparison”
- LinkedLinked via arxiv author · 85%Paolo Pareti →
“A Formally Grounded ODRL Evaluator: Implementation and Comparison”
- LinkedLinked via arxiv author · 85%Adeel Aslam →
“A Formally Grounded ODRL Evaluator: Implementation and Comparison”
- LinkedLinked via arxiv author · 85%Christopher Maidens →
“A Formally Grounded ODRL Evaluator: Implementation and Comparison”
- LinkedLinked via arxiv author · 85%George Konstantinidis →
“A Formally Grounded ODRL Evaluator: Implementation and Comparison”