introduction-en.html 1.3 KB

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  1. <h2 class="list">Introduction</h2>
  2. GDPRov (pronounced as GDPR-prov) is an
  3. <a href="https://www.w3.org/TR/owl2-overview/">OWL2</a> ontology for describing the
  4. provenance of data and consent lifecycles using <a href="http://eur-lex.europa.eu/eli/reg/2016/679/oj">GDPR</a> terminology. It extends
  5. the existing linked open data provenance ontologies - <a href="https://www.w3.org/TR/prov-o/">PROV ontology (PROV-O)</a>
  6. and <a href="http://purl.org/net/p-plan">Ontology for Provenance and Plans (P-Plan)</a>. PROV-O is used to represent
  7. provenance information and is a W3C recommendation. GDPRov uses these
  8. provenance ontologies to express a data-flow model that can trace how consent
  9. and data are used by extending the appropriate vocabulary with GDPR-related
  10. terms.
  11. As the GDPR specifies several requirements over the use of consent and personal
  12. data, the compliance documentation for it requires a provenance trace of
  13. how the consent and personal data were obtained, and all processes that
  14. act on them. Additionally, GDPR also provides the data subject with several
  15. rights that also require maintaining provenance traces. GDPRov aims to provide
  16. a base ontology for the expression of such provenance traces which can provide
  17. beneficial in the development of compliance related documentation and approaches
  18. as well as GDPR related tools and utilities.