Conference paper Open Access

Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL

Pandit, Harshvardhan J.


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  <dc:creator>Pandit, Harshvardhan J.</dc:creator>
  <dc:date>2018-09-05</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/3246493</dc:identifier>
  <dc:identifier>10.5281/zenodo.3246493</dc:identifier>
  <dc:identifier>oai:zenodo.org:3246493</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/SFI/SFI+Research+Centres/13%2FRC%2F2106/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3246492</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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