Legal powers, subjections, disabilities, and immunities: Ontological analysis and modeling patterns

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Cristine Griffo , João Paulo A. Almeida , João A.O. Lima , Tiago Prince Sales , Giancarlo Guizzardi
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引用次数: 0

Abstract

The development of dependable information systems in legal contexts requires a precise understanding of the subtleties of the underlying legal phenomena. According to a modern understanding in the philosophy of law, much of these phenomena are relational in nature. In this paper, we employ a theoretically well-grounded legal core ontology (UFO-L) to conduct an ontological analysis focused on fundamental legal relations, namely, the power–subjection and the disability–immunity relations. We show that in certain cases, power–subjection relations are primitive in the sense that by means of institutional acts other legal relations can be generated from them. Examples include relations of rights and duties, permissions and no-rights, liberties, secondary power–subjection, etc. We further show that legal disabilities (and their correlative immunities) are key in constraining the reach of legal powers; together with powers, they form a comprehensive framework for representing the grounds of valid legal acts and to account for the life-cycle of the legal positions that powers create, alter, and possibly extinguish. As a contribution to the practice of conceptual modeling, and leveraging the result of our analysis, we propose conceptual modeling patterns for legal relations, which are then applied to model a real-world case in tax law.

法律权力、臣服、残疾和豁免:本体论分析和建模模式
在法律背景下发展可靠的信息系统需要准确理解潜在法律现象的微妙之处。根据现代法哲学的理解,这些现象中的许多本质上是关系性的。在本文中,我们采用了一个理论上有根据的法律核心本体论(UFO-L),对基本的法律关系,即权力-服从关系和残疾-豁免关系进行了本体论分析。我们表明,在某些情况下,权力-服从关系是原始的,因为通过制度行为,可以从中产生其他法律关系。例子包括权利与义务、许可与无权利、自由、次要权力服从等关系。我们进一步表明,法律残疾(及其相关豁免)是限制法律权力范围的关键;与权力一起,它们形成了一个全面的框架,用于代表有效法律行为的理由,并解释权力创造、改变和可能消灭的法律地位的生命周期。作为对概念建模实践的贡献,并利用我们的分析结果,我们提出了法律关系的概念建模模式,然后将其应用于税法中的真实案例建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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