Type

Conference Proceedings

Authors

Harshvardhan Jitendra Pandit
Declan O'Sullivan
David Lewis

Subjects

Computer Science

Topics
semantic web data protection regulatory compliance gdpr semantic technologies provenance web technologies shacl

Exploring GDPR compliance over provenance graphs using SHACL (2018)

Abstract Semantic web technologies provide an open and adaptable framework for compliance regarding the General Data Protection Reg- ulation (GDPR). Our previous work in this regard demonstrates the use of SPARQL for querying provenance of consent and personal data lifecycles for compliance. We extend this work through our model for evaluation of GDPR compliance using SHACL to validate the correct- ness and completeness of information. The model describes the creation of a compliance graph consisting of information required to document and demonstrate compliance linked to specific articles and obligations within the GDPR using the GDPRtEXT vocabulary.
Collections Ireland -> Trinity College Dublin -> School of Computer Science and Statistics
Ireland -> Trinity College Dublin -> RSS Feeds
Ireland -> Trinity College Dublin -> Computer Science
Ireland -> Trinity College Dublin -> RSS Feeds
Ireland -> Trinity College Dublin -> Computer Science (Scholarly Publications)

Full list of authors on original publication

Harshvardhan Jitendra Pandit, Declan O'Sullivan, David Lewis

Experts in our system

1
Harshvardhan Jitendra Pandit
Trinity College Dublin
Total Publications: 29
 
2
Declan O'Sullivan
Trinity College Dublin
Total Publications: 93
 
3
David Lewis
Trinity College Dublin
Total Publications: 86