Conference paper Open Access

Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL

Pandit, Harshvardhan J.


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    <subfield code="a">&lt;p&gt;Semantic&amp;nbsp; web&amp;nbsp; technologies&amp;nbsp; provide&amp;nbsp; an&amp;nbsp; open&amp;nbsp; and&amp;nbsp; adaptable framework for compliance regarding the General Data Protection Regulation&amp;nbsp; (GDPR).&amp;nbsp; Our&amp;nbsp; previous&amp;nbsp; work&amp;nbsp; in&amp;nbsp; this&amp;nbsp; regard&amp;nbsp; demonstrates&amp;nbsp; the use of SPARQL for querying provenance of consent and personal data lifecycles&amp;nbsp; for&amp;nbsp; compliance.&amp;nbsp; We&amp;nbsp; extend&amp;nbsp; this&amp;nbsp; work&amp;nbsp; through&amp;nbsp; our&amp;nbsp; model&amp;nbsp; for evaluation of GDPR compliance using SHACL to validate the correctness and completeness of information. The model describes the creation of&amp;nbsp; a&amp;nbsp; compliance&amp;nbsp; graph&amp;nbsp; consisting&amp;nbsp; of&amp;nbsp; information&amp;nbsp; required&amp;nbsp; to&amp;nbsp; document and&amp;nbsp; demonstrate&amp;nbsp; compliance&amp;nbsp; linked&amp;nbsp; to&amp;nbsp; specific&amp;nbsp; articles&amp;nbsp; and&amp;nbsp; obligations within the GDPR using the GDPRtEXT vocabulary.&lt;/p&gt;</subfield>
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