用RDF/SPARQL构建多框架合规性评估系统，解决数据访问控制难题
Parajudica: An RDF-Based Reasoner and Metamodel for Multi-Framework Context-Dependent Data Compliance Assessments
- 基于RDF和SPARQL构建可扩展的规则引擎，支持多框架共存
- 可评估上下文相关数据合规状态，支持政策执行与风险分析
- 适合合规工程师、数据治理人员及法律技术交叉研究者
针对多个同时适用的合规框架下实施基于策略的数据访问控制（PBAC）的挑战，我们提出Parajudica，一个开放、模块化且可扩展的基于RDF/SPARQL的规则系统，用于评估上下文相关的数据合规状态。通过应用于现有法律法规和行业标准，验证了该系统及其配套元模型的有效性，为跨框架比较分析提供洞见。应用场景包括合规策略执行、合规监控、数据发现和风险评估。
原文摘要 · Abstract (English)
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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