Parajudica: An RDF-Based Reasoner and Metamodel for Multi-Framework Context-Dependent Data Compliance Assessments

2025-12-05

AI Summary

Policy-Based Access Control (PBAC) faces significant challenges in unified modeling and dynamic compliance assessment across multiple regulatory frameworks (e.g., GDPR, HIPAA, CCPA). Method: This paper proposes a semantic rule framework grounded in RDF/SPARQL, featuring an extensible compliance metamodel and domain ontology to enable structured representation of cross-regulatory provisions, context-aware policy reasoning, and automated compliance alignment. It integrates Semantic Web technologies—including RDF knowledge representation, SPARQL querying, and SWRL rule-based inference—with a lightweight reasoning engine to support formal policy specification, real-time enforcement, continuous monitoring, sensitive data discovery, and quantitative risk assessment. Contribution/Results: Experimental evaluation demonstrates that the framework substantially improves accuracy, interpretability, and maintainability of compliance assessments in multi-framework coordination scenarios, while enabling scalable, semantically rigorous, and operationally actionable governance.

Technology Category

• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories
• Knowledge Representation and Reasoning: Description Logics
• Data Mining & Knowledge Management: Semantic Web

Application Category

• Responsible Web: Consent frameworks and practices on the web
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Security and Privacy: Data transparency and provenance

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.

Problem

• Evaluates context-dependent data compliance across multiple frameworks
• Provides an open, modular RDF/SPARQL-based rule system for PBAC
• Enables comparative analysis of legal and industry compliance standards

Innovation

• RDF/SPARQL-based rule system for compliance
• Modular and extensible metamodel for multi-framework assessment
• Enables context-dependent data compliance evaluation and analysis