Conference paper Open Access

Towards Knowledge-Based Systems for GDPRCompliance

Pandit, Harshvardhan J.; O'Sullivan, Declan; Lewis, Dave


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    <subfield code="a">&lt;p&gt;Legal compliance is traditionally seen to be sufficiently demonstrable using legal documents that describe how various operations and activities&amp;nbsp; follow&amp;nbsp; a&amp;nbsp; given&amp;nbsp; set&amp;nbsp; of&amp;nbsp; obligations.&amp;nbsp; The&amp;nbsp; General&amp;nbsp; Data&amp;nbsp; 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&amp;nbsp; on&amp;nbsp; compliance&amp;nbsp; technologies&amp;nbsp; or&amp;nbsp; to&amp;nbsp; use&amp;nbsp; a&amp;nbsp; common&amp;nbsp; mechanism&amp;nbsp; for defining knowledge, doing so has several benefits to the larger community.&amp;nbsp; Through&amp;nbsp; this&amp;nbsp; paper,&amp;nbsp; we&amp;nbsp; describe&amp;nbsp; how&amp;nbsp; open&amp;nbsp; and&amp;nbsp; shared&amp;nbsp; 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 flexible nature towards describing concepts and relationships.&amp;nbsp; We&amp;nbsp; present&amp;nbsp; a&amp;nbsp; model&amp;nbsp; for&amp;nbsp; such&amp;nbsp; a&amp;nbsp; knowledge-based&amp;nbsp; system along with work published to date.&lt;/p&gt;</subfield>
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