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Chapitre D'ouvrage Année : 2021

Capturing the Basics of the GDPR in a Well-Founded Legal Domain Modular Ontology

Résumé

The primary goal of the General Data Protection Regulation (GDPR) is to regulate the rights and duties of citizens and organizations over personal data protection. Implementing the GDPR is recently gaining much importance for legal reasoning and compliance checking purposes. In this work, we aim to capture the basics of GDPR in a well-founded legal domain modular ontology named OPPD (Ontology for the Protection of Personal Data). Ontology-Driven Conceptual Modeling (ODCM), ontology layering, modularization, and reuse processes are applied. These processes aim to support the ontology engineer in overcoming the complexity of the legal knowledge and developing an ontology model faithful to reality. ODCM is used for grounding OPPD in the Unified Foundational Ontology (UFO). Ontology modularization and layering aim to simplify the ontology building process. Ontology reuse focuses on selecting and reusing Conceptual Ontology Patterns (COPs) from UFO and the legal core ontology UFO-L. OPPD intends to overcome the lack of a representation of legal procedures that most ontologies encountered. The potential use of OPPD is proposed to formalize the GDPR rules by combining ontological reasoning and Logic Programming.

Dates et versions

hal-03583782 , version 1 (22-02-2022)

Identifiants

Citer

Mirna El Ghosh, Habib Abdulrab. Capturing the Basics of the GDPR in a Well-Founded Legal Domain Modular Ontology. Formal Ontology in Information Systems, IOS Press, 2021, Frontiers in Artificial Intelligence and Applications, ⟨10.3233/FAIA210378⟩. ⟨hal-03583782⟩
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