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.
PrOnto: Privacy Ontology for Legal Reasoning / Monica Palmirani; Michele Martoni; Arianna Rossi; Cesare Bartolini; Livio Robaldo. - STAMPA. - (2018), pp. 139-152. (Intervento presentato al convegno EGOVIS - Electronic Government and the Information Systems Perspective tenutosi a Regensburg, Germany nel 2018 September 3-5) [10.1007/978-3-319-98349-3_11].
PrOnto: Privacy Ontology for Legal Reasoning
Monica Palmirani
Writing – Original Draft Preparation
;Michele MartoniWriting – Original Draft Preparation
;Arianna RossiWriting – Original Draft Preparation
;
2018
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.| File | Dimensione | Formato | |
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