This paper introduces PrOnto, the privacy ontology that models the GDPR main conceptual cores: data types and documents, agents and roles, processing purposes, legal bases, processing operations, and deontic operations for modelling rights and duties. The explicit goal of PrOnto is to support legal reasoning and compliance checking by employing defeasible logic theory (i.e., the LegalRuleML standard and the SPINDle engine).

Legal Ontology for Modelling GDPR Concepts and Norms

Monica Palmirani
;
Michele Martoni;Arianna Rossi;
2018

Abstract

This paper introduces PrOnto, the privacy ontology that models the GDPR main conceptual cores: data types and documents, agents and roles, processing purposes, legal bases, processing operations, and deontic operations for modelling rights and duties. The explicit goal of PrOnto is to support legal reasoning and compliance checking by employing defeasible logic theory (i.e., the LegalRuleML standard and the SPINDle engine).
2018
Legal Knowledge and Information Systems. JURIX 2018. 31st International Conference on Legal Knowledge and Information Systems
91
100
Monica Palmirani; Michele Martoni; Arianna Rossi; Cesare Bartolini; Livio Robaldo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/684973
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