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Enhancing business process modelling with data protection compliance: an ontology-based proposal

Conference Paper
Publication Date:
2019
abstract:
The research and industrial environments are struggling to identify practical approaches to highlight the (new) duties of controllers of personal data and foster the transition of IT-based systems, services, and tools to comply with the GDPR. In this paper, we present a solution for enhancing the modelling of business processes with facilities to help evaluate the compliance with the GDPR. The proposal is based on a model describing the constituents of the data protection domain: A structured form of the legal text, an ontology of data protection concepts, and a machine-readable translation of the GDPR provisions. An example of application is also provided.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
BPMN; Business Processes; General Data Protection Regulation (GDPR); Legal Ontologies; LegalRuleML; Privacy by Design
List of contributors:
Marchetti, Eda; Calabro', Antonello
Authors of the University:
CALABRO' ANTONELLO
MARCHETTI EDA
Handle:
https://iris.cnr.it/handle/20.500.14243/374748
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https://www.scitepress.org/PublicationsDetail.aspx?ID=xI4+Vpf89lQ=&t=1
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