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

2019

Conference article Open Access

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

Bartolin C., Calabró A., Marchetti E.

BPMN General Data Protection Regulation (GDPR) Business Processes Privacy by Design Legal Ontologies LegalRuleML

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.

Source: ICISSP 2019 - 5th International Conference on Information Systems Security and Privacy, pp. 421–428, Prague, Czech Republic, 23-25 February 2019

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@inproceedings{oai:it.cnr:prodotti:415734,
	title = {Enhancing business process modelling with data protection compliance: an ontology-based proposal},
	author = {Bartolin C. and Calabró A. and Marchetti E.},
	doi = {10.5220/0007392304210428},
	booktitle = {ICISSP 2019 - 5th International Conference on Information Systems Security and Privacy, pp. 421–428, Prague, Czech Republic, 23-25 February 2019},
	year = {2019}
}