Conference paper Open Access

Towards Knowledge-Based Systems for GDPRCompliance

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3246477", 
  "title": "Towards Knowledge-Based Systems for GDPRCompliance", 
  "issued": {
    "date-parts": [
      [
        2019, 
        3, 
        2
      ]
    ]
  }, 
  "abstract": "<p>Legal compliance is traditionally seen to be sufficiently demonstrable using legal documents that describe how various operations and activities&nbsp; follow&nbsp; a&nbsp; given&nbsp; set&nbsp; of&nbsp; obligations.&nbsp; The&nbsp; General&nbsp; Data&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&nbsp; on&nbsp; compliance&nbsp; technologies&nbsp; or&nbsp; to&nbsp; use&nbsp; a&nbsp; common&nbsp; mechanism&nbsp; for defining knowledge, doing so has several benefits to the larger community.&nbsp; Through&nbsp; this&nbsp; paper,&nbsp; we&nbsp; describe&nbsp; how&nbsp; open&nbsp; and&nbsp; shared&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.&nbsp; We&nbsp; present&nbsp; a&nbsp; model&nbsp; for&nbsp; such&nbsp; a&nbsp; knowledge-based&nbsp; system along with work published to date.</p>", 
  "author": [
    {
      "family": "Pandit, Harshvardhan J."
    }, 
    {
      "family": "O'Sullivan, Declan"
    }, 
    {
      "family": "Lewis, Dave"
    }
  ], 
  "id": "3246477", 
  "version": "preprint", 
  "type": "paper-conference", 
  "event": "Workshop on Contextualized Knowledge Graphs (CKG)"
}
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