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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) and Luxembourg ; 2 Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Consiglio Nazionale delle Ricerche (CNR) via G. Moruzzi, 1 - 56124 Pisa and Italy

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

Related Ontology Subjects/Areas/Topics: Information and Systems Security ; Privacy Enhancing Technologies

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.

CC BY-NC-ND 4.0

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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 - ICISSP; ISBN 978-989-758-359-9; ISSN 2184-4356, SciTePress, 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 - ICISSP},
year={2019},
pages={421-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007392304210428},
isbn={978-989-758-359-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP
TI - Enhancing Business Process Modelling with Data Protection Compliance: An Ontology-based Proposal
SN - 978-989-758-359-9
IS - 2184-4356
AU - Bartolini, C.
AU - Calabró, A.
AU - Marchetti, E.
PY - 2019
SP - 421
EP - 428
DO - 10.5220/0007392304210428
PB - SciTePress

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