September 5, 2018 Conference paper Open Access

Pandit, Harshvardhan J.

JSON-LD (schema.org) Export

{
  "description": "<p>Semantic&nbsp; web&nbsp; technologies&nbsp; provide&nbsp; an&nbsp; open&nbsp; and&nbsp; adaptable framework for compliance regarding the General Data Protection Regulation&nbsp; (GDPR).&nbsp; Our&nbsp; previous&nbsp; work&nbsp; in&nbsp; this&nbsp; regard&nbsp; demonstrates&nbsp; the use of SPARQL for querying provenance of consent and personal data lifecycles&nbsp; for&nbsp; compliance.&nbsp; We&nbsp; extend&nbsp; this&nbsp; work&nbsp; through&nbsp; our&nbsp; model&nbsp; for evaluation of GDPR compliance using SHACL to validate the correctness and completeness of information. The model describes the creation of&nbsp; a&nbsp; compliance&nbsp; graph&nbsp; consisting&nbsp; of&nbsp; information&nbsp; required&nbsp; to&nbsp; document and&nbsp; demonstrate&nbsp; compliance&nbsp; linked&nbsp; to&nbsp; specific&nbsp; articles&nbsp; and&nbsp; obligations within the GDPR using the GDPRtEXT vocabulary.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "ADAPT Centre, Trinity College Dubln", 
      "@id": "https://orcid.org/0000-0002-5068-3714", 
      "@type": "Person", 
      "name": "Pandit, Harshvardhan J."
    }
  ], 
  "headline": "Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-09-05", 
  "url": "https://zenodo.org/record/3246493", 
  "version": "preprint", 
  "@type": "ScholarlyArticle", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3246493", 
  "@id": "https://doi.org/10.5281/zenodo.3246493", 
  "workFeatured": {
    "alternateName": "SEMANTiCS2018", 
    "@type": "Event", 
    "name": "Posters and Demos Track of the 14th International Conference on Semantic Systems"
  }, 
  "name": "Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL"
}