• GDPR-driven Change Detection In Consent And Activity Metadata

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    ESWC2018___MEPDaW___GDPR_driven_Change_Detection_in_Consent_and_Activity_Metadata.pdf (256.41 KB)

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    2018

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    Pandit, H.J., O'Sullivan, D. & Lewis, D., GDPR-driven Change Detection In Consent And Activity Metadata, Managing the Evolution and Preservation of the Data Web – MEPDaW 2018 at 15th International Extended Semantic Web Conference (ESWC 2018), Heraklion (Crete, Greece), 3rd June, 2018, 16 - 20

    Abstract

    This position paper explores changes concerning the relationship between consent and activities in context of the General Data Protection Regulation (GDPR). Detecting and recording such changes with their effects can provide assistance in demonstration and management of compliance. We present an approach for using metadata-driven change detection and representation towards supporting querying for GDPR compliance. We use P-Plan (an extension to PROV) for representing provenance of activities and ODRL for representing consent. We explore the presented approach by means of a use-case.

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    http://ceur-ws.org/Vol-2112/mepdaw_paper_2.pdf
     http://hdl.handle.net/2262/91562

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    Computer Science (Scholarly Publications)
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    Keywords

    GDPR, Data protection, Metadata, Change detection, Compliance

    Sponsor: Science Foundation Ireland (SFI)

    Author's Homepage: http://people.tcd.ie/pandith

    Author: O'Sullivan, Declan

    Author: PANDIT, HARSHVARDHAN JITENDRA

    Author: Lewis, David

    Other Titles: Managing the Evolution and Preservation of the Data Web ? MEPDaW 2018 at 15th International Extended Semantic Web Conference (ESWC 2018)
    Type of material: Conference Paper