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Legal Ontology for Modelling GDPR Concepts and Norms
Monica Palmirani, Michele Martoni, Arianna Rossi, Cesare Bartolini, Livio Robaldo
91 - 100
10.3233/978-1-61499-935-5-91
Frontiers in Artificial Intelligence and Applications
Volume 313: Legal Knowledge and Information Systems
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).

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