Abstract
The GDPR (GDPR, REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)) introduces the self-assessment of digital risks and the modulation of duties on the basis of the impact assessment analysis, including specific measures that intend to safeguard the data subject’s human dignity and fundamental rights. Semantic web technologies and legal reasoning tools can support privacy-by-default and legal compliance. In this light, this paper presents a first draft of a legal ontology on the GDPR, called PrOnto, that has the goal of providing a legal knowledge modelling of the privacy agents, data types, types of processing operations, rights and obligations. The methodology used here is based on legal theory analysis joined with ontological patterns.
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Acknowledgement
This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 690974 “MIREL: MIning and REasoning with Legal texts” and by the Luxembourg National Research Fund (FNR) CORE project C16/IS/11333956 “DAPRECO: DAta Protection REgulation COmpliance”.
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Palmirani, M., Martoni, M., Rossi, A., Bartolini, C., Robaldo, L. (2018). PrOnto: Privacy Ontology for Legal Reasoning. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2018. Lecture Notes in Computer Science(), vol 11032. Springer, Cham. https://doi.org/10.1007/978-3-319-98349-3_11
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