Automated GDPR Contract Compliance Verification Using Knowledge Graphs

In the past few years, main research efforts regarding General Data Protection Regulation (GDPR)-compliant data sharing have been focused primarily on informed consent (one of six GDPR lawful bases for processing). cases such as Business-to-Business (B2B) and Business-to-Consumer (B2C) sharing, when might not be enough, many small medium enterprises (SMEs) still depend contracts—a basis that is often overlooked due to its complexity. The contract’s lifecycle comprises stages (e.g., drafting, negotiation, signing) must executed in compliance with GDPR. Despite active digital contracts, contract-based challenges contract interoperability sufficiently elaborated yet. Since knowledge graphs ontologies provide support discovery, we propose develop a graph-based tool verification (CCV). It binds GDPR’s legal contracts. addition, conducted performance evaluation terms execution time test validate CCV’s correctness determining overhead applicability proposed smart city insurance application scenarios. results CCV demonstrate tool’s practicability deployment real world minimum overhead.