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Authors: Cesare Bartolini 1 ; Antonello Calabró 2 and Eda Marchetti 2

Affiliations: 1 University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg ; 2 Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Consiglio Nazionale delle Ricerche (CNR) via G. Moruzzi, 1 - 56124 Pisa, Italy

ISBN: 978-989-758-359-9

Keyword(s): Business Processes, BPMN, General Data Protection Regulation (GDPR), Privacy by Design, Legal Ontologies, LegalRuleML.

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.

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Paper citation in several formats:
Bartolini, C.; Calabró, A. and Marchetti, E. (2019). Enhancing Business Process Modelling with Data Protection Compliance: An Ontology-based Proposal.In Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-359-9, pages 421-428. DOI: 10.5220/0007392304210428

@conference{icissp19,
author={Cesare Bartolini. and Antonello Calabró. and Eda Marchetti.},
title={Enhancing Business Process Modelling with Data Protection Compliance: An Ontology-based Proposal},
booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2019},
pages={421-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007392304210428},
isbn={978-989-758-359-9},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Enhancing Business Process Modelling with Data Protection Compliance: An Ontology-based Proposal
SN - 978-989-758-359-9
AU - Bartolini, C.
AU - Calabró, A.
AU - Marchetti, E.
PY - 2019
SP - 421
EP - 428
DO - 10.5220/0007392304210428

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