Modelling the General Data Protection Regulation

Sushant Agarwal, Sabrina Kirrane, Johannes Scharf

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

The new EU General Data Protection Regulation (GDPR) will soon replace the older data protection directive. Currently, the knowledge to comply with the regulation is only available in a human-readable format. If this knowledge is translated into machine-readable rules then computer based systems can ease data protection information retrieval as well as the process of checking GDPR compliance. In this paper, we model the obligations defined in the GDPR and then translate the model into a machine readable format by extending the Open Digital Rights Language (ODRL) ontology. The model is, in turn, used for a compliance checking tool.
Original languageEnglish
Title of host publication. Internationales Rechtsinformatik Symposion IRIS 2017, Salzburg, Austria, 23.02. - 25.02.
Place of PublicationSalzburg
DOIs
Publication statusPublished - 2017

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102 not use (legacy)
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 502050 Business informatics
  • 505002 Data protection

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