GDPRtEXT - GDPR as a Linked Data Resource

Harshvardhan Pandit*, Kaniz Fatema, Declan O'Sullivan, Dave Lewis

*Corresponding author for this work

    Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review


    The General Data Protection Regulation (GDPR) is the new European data protection law whose compliance affects organisations in several aspects related to the use of consent and personal data. With emerging research and innovation in data management solutions claiming assistance with various provisions of the GDPR, the task of comparing the degree and scope of such solutions is a challenge without a way to consolidate them. With GDPR as a linked data resource, it is possible to link together information and approaches addressing specific articles and thereby compare them. Organisations can take advantage of this by linking queries and results directly to the relevant text, thereby making it possible to record and measure their solutions for compliance towards specific obligations. GDPR text extensions (GDPRtEXT) uses the European Legislation Identifier (ELI) ontology published by the European Publications Office for exposing the GDPR as linked data. The dataset is published using DCAT and includes an online webpage with HTML id attributes for each article and its subpoints. A SKOS vocabulary is provided that links concepts with the relevant text in GDPR. To demonstrate how related legislations can be linked to highlight changes between them for reusing existing approaches, we provide a mapping from Data Protection Directive (DPD), which was the previous data protection law, to GDPR showing the nature of changes between the two legislations. We also discuss in brief the existing corpora of research that can benefit from the adoption of this resource.
    Original languageEnglish
    Title of host publicationEuropean Semantic Web Conference- ESWC 2018
    ISBN (Electronic)978-3-319-93417-4
    ISBN (Print)978-3-319-93416-7
    Publication statusPublished - 3 Jun 2018

    Publication series

    NameLecture Notes in Computer Science


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