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

M. E. Ghosh, H. Abdulrab
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Abstract

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.
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在一个建立良好的法律领域模块化本体中获取GDPR的基础知识
《通用数据保护条例》(GDPR)的主要目标是规范公民和组织在个人数据保护方面的权利和义务。实施GDPR最近在法律推理和合规性检查方面变得越来越重要。在这项工作中,我们的目标是在一个名为OPPD(个人数据保护本体)的有充分基础的法律领域模块化本体中捕获GDPR的基础知识。应用了本体驱动概念建模(ODCM)、本体分层、模块化和重用过程。这些过程旨在支持本体工程师克服法律知识的复杂性,建立一个忠实于现实的本体模型。ODCM用于在UFO (Unified Foundational Ontology)中接地OPPD。本体的模块化和分层旨在简化本体的构建过程。本体重用的重点是从UFO和法律核心本体UFO- l中选择和重用概念本体模式(cop)。OPPD打算克服大多数本体遇到的缺乏法律程序表示的问题。通过本体推理和逻辑编程的结合,提出了OPPD在GDPR规则形式化中的潜在应用。
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