The FLINT Ontology: An Actor-Based Model of Legal Relations

被引：0
|
作者：
Breteler, Jeroen [1 ]
van Gessel, Thom [1 ]
Biagioni, Giulia [1 ]
van Doesburg, Robert [2 ]
机构：
[1] TNO, Anna Van Buerenpl 1, The Hague, Netherlands
[2] Univ Amsterdam, TNO, Amsterdam, Netherlands
来源：
KNOWLEDGE GRAPHS: SEMANTICS, MACHINE LEARNING, AND LANGUAGES | 2023年 / 56卷
关键词：
Norms; Normative systems; Legal interpretation;
D O I：
10.3233/SSW230016
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recording and documenting human and AI-driven normative decision-making processes has so far been highly challenging. We focus on the challenge of normative coordination: the process by which stakeholders in a community understand and agree what norms they abide by. Our aim is to develop and formalize the FLINT language, which allows a high-level description of normative systems. FLINT enables legal experts to agree on norms, while also serving as a basis for technical implementation. Our contribution consists of the development of an ontology for FLINT and its RDF/OWL implementation which we have made openly accessible. We designed the ontology on the basis of competency questions. Additionally, we validated the ontology by modeling example cases and using the ontology's data model in software tooling.
引用
收藏
页码：227 / 234
页数：8
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