Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL

descriptionPublicationkeyboard_double_arrow_right Conference object 05 Sep 2018Publisher:ZenodoPublicly fundedFunded by:SFI | ADAPT: Centre for Digital...

Authors: Pandit, Harshvardhan J.;

doi: 10.5281/zenodo.3246492 , 10.5281/zenodo.3246493

Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL

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Abstract

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

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Trinity College Dublin
Ireland

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