Type

Conference Proceedings

Authors

Harshvardhan Jitendra Pandit
David Lewis
Declan O'Sullivan

Subjects

Computer Science

Topics
semantic web legal compliance graph knowledge and data engineering digital engagement legal compliance gdpr linked data consent provenance knowledge based system

Towards Knowledge-based Systems for GDPR Compliance (2018)

Abstract Legal compliance is traditionally seen to be sufficiently demonstrable using legal documents that describe how various operations and activities follow a given set of obligations. The General Data Protection Regulation (GDPR) enforces larger responsibilities upon organisations and provides motivation for the use of technological measures that can ease its compliance. While there is no legal requirement to collaborate on compliance technologies or to use a common mechanism for defining knowledge, doing so has several benefits to the larger community. Through this paper, we describe how open and shared technologies targeted towards GDPR and its compliance can be used to create knowledge-based systems. Our approach uses semantic web technologies due to their open and exible nature towards describing concepts and relationships. We present a model for such a knowledge-based system along with work published to date.
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Full list of authors on original publication

Harshvardhan Jitendra Pandit, David Lewis, Declan O'Sullivan

Experts in our system

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