Abstract
Starting from 25th May 2018, the EU Regulation 2016/679, known as GDPR (General Data Protection Regulation) - relating to the protection of individuals with regard to the processing and free circulation of personal data - is directly applicable in all Member States. The application of the GDPR caught a lot of companies and institutions unprepared and off guard. One of the most complex activities that the GDPR requires is the Data Protection Impact Assessment (DPIA). The aim of this paper is to provide an Expert System that is able to draw up the DPIA, and a prototype is shown.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahmadian, A.S., Strüber, D., Riediger, V., Jürjens, J.: Supporting privacy impact assessment by model-based privacy analysis. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 1467–1474 (2018)
Shapiro, R., White; S.A., Bock, C., Palmer, N., Muhelen, M., Brambilla, M., Gagné, D. et al.: BPMN 2.0 Handbook 2nd Ed.: Methods, Concepts, Case Studies and Standards in Business Process Management Notation. Future Strategies Inc., Lighthouse Point (2011)
Rospocher, M., Ghidini, C., Serafini,L.: An ontology for the business process modelling notation. In: Formal Ontology in Information Systems: Proceedings of the Eighth International Conference, vol. 267, pp. 133–146. IOS Press, Amsterdam (2014)
Workgroup CODAU on Privacy and GDPR: Linee guida in materia di privacy e protezione dei dati personali in ambito universitario, Version 1.1 (2017). Online: http://www.codau.it/sites/default/files/verbali/all_3_lineeguida_privacy_gdpr_ravera.pdf
The W3C Consortium: OWL 2 Web Ontology Language Document Overview, Second Edition (2012). Online: https://www.w3.org/TR/owl2-overview/
Vassilades, V., Wielemaker, J., Mungall, C.: Processing OWL2 ontologies using Thea: An application of logic programming. In: Proceedings of the 5th International Workshop on OWL: Experiences and Directions, vol. 529. CEUR-WS.com (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Di Martino, B., Mastroianni, M., Campaiola, M., Morelli, G., Sparaco, E. (2020). Semantic Techniques for Validation of GDPR Compliance of Business Processes. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_78
Download citation
DOI: https://doi.org/10.1007/978-3-030-22354-0_78
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22353-3
Online ISBN: 978-3-030-22354-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)