Parajudica: An RDF-Based Reasoner and Metamodel for Multi-Framework Context-Dependent Data Compliance Assessments
Luc Moreau (University of Sussex, Brighton, United Kingdom), Alfred Rossi (Immuta Research, Boston, Massachusetts, USA), Sophie Stalla-Bourdillon (Brussels Privacy Hub, Vrije Universiteit Brussel, Brussels, Belgium)
TL;DR
Parajudica is an RDF-based reasoning system designed to evaluate data compliance across multiple frameworks, aiding policy enforcement, monitoring, and risk assessment.
Contribution
It introduces a modular RDF/SPARQL-based rule system and a metamodel for multi-framework context-dependent data compliance assessment.
Findings
Effective application to legal and industry standards
Supports compliance enforcement and monitoring
Facilitates comparative framework analysis
Abstract
Motivated by the challenges of implementing policy-based data access control (PBAC) under multiple simultaneously applicable compliance frameworks, we present Parajudica, an open, modular, and extensible RDF/SPARQL-based rule system for evaluating context-dependent data compliance status. We demonstrate the utility of this resource and accompanying metamodel through application to existing legal frameworks and industry standards, offering insights for comparative framework analysis. Applications include compliance policy enforcement, compliance monitoring, data discovery, and risk assessment.
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Taxonomy
TopicsAccess Control and Trust · Semantic Web and Ontologies · Safety Systems Engineering in Autonomy