Modelling Legal Knowledge for GDPR Compliance Checking

被引：34

作者：

Palmirani, Monica ^{[1
]}

Governatori, Guido ^{[2
]}

机构：

[1] Univ Bologna, CIRSFID, Bologna, Italy

[2] CSIRO, Data61, Canberra, ACT, Australia

来源：

LEGAL KNOWLEDGE AND INFORMATION SYSTEMS (JURIX 2018) | 2018年 / 313卷

关键词：

LegalRuleML; Akoma Ntoso; Legal Ontology; Legal Compliance Checking; GDPR Rule Modelling; RULES;

D O I：

10.3233/978-1-61499-935-5-101

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the last fifteen years, Semantic Web technologies have been successfully applied to the legal domain. By composing all those techniques and theoretical methods, we propose an integrated framework for modelling legal documents and legal knowledge to support legal reasoning, in particular checking compliance. This paper presents a proof-of-concept applied to the GDPR domain, with the aim to detect infringements of privacy compulsory norms or to prevent possible violations using BPMN and Regorous engine.

引用

页码：101 / 110

页数：10

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