Parajudica: An RDF-Based Reasoner and Metamodel for Multi-Framework Context-Dependent Data Compliance Assessments
This addresses data compliance assessment for organizations dealing with multiple regulatory frameworks, but it appears incremental as it builds on existing RDF/SPARQL technologies.
The paper tackles the challenge of implementing policy-based data access control under multiple compliance frameworks by presenting Parajudica, an RDF/SPARQL-based rule system for evaluating context-dependent data compliance status, and demonstrates its utility through application to existing legal frameworks and industry standards.
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.