Efficient compliance checking of RDF data

IF 0.7 4区数学 Q3 COMPUTER SCIENCE, THEORY & METHODS

Journal of Logic and Computation Pub Date : 2023-06-06 DOI:10.1093/logcom/exad034

Livio Robaldo, Francesco Pacenza, Jessica Zangari, Roberta Calegari, Francesco Calimeri, Giovanni Siragusa

引用次数: 1

Abstract

Abstract Automated compliance checking, i.e. the task of automatically assessing whether states of affairs comply with normative systems, has recently received a lot of attention from the scientific community, also as a consequence of the increasing investments in Artificial Intelligence technologies for the legal domain (LegalTech). The authors of this paper deem as crucial the research and implementation of compliance checkers that can directly process data in RDF format, as nowadays more and more (big) data in this format are becoming available worldwide, across a multitude of different domains. Among the automated technologies that have been used in recent literature, to the best of our knowledge, only two of them have been evaluated with input states of affairs encoded in RDF format. This paper formalizes a selected use case in these two technologies and compares the implementations, also in terms of simulations with respect to shared synthetic datasets.

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RDF数据的高效遵从性检查

自动合规性检查，即自动评估事务状态是否符合规范系统的任务，最近受到了科学界的广泛关注，也是法律领域人工智能技术投资增加的结果(LegalTech)。本文的作者认为，能够直接处理RDF格式数据的遵从性检查器的研究和实现是至关重要的，因为现在越来越多的这种格式的(大)数据在世界范围内可用，跨越许多不同的领域。在最近文献中使用的自动化技术中，据我们所知，只有两种技术使用以RDF格式编码的事务输入状态进行了评估。本文形式化了这两种技术中选定的用例，并比较了它们的实现，也比较了共享合成数据集的模拟。

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

Journal of Logic and Computation 工程技术-计算机：理论方法

CiteScore

1.90

自引率

14.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Logic has found application in virtually all aspects of Information Technology, from software engineering and hardware to programming and artificial intelligence. Indeed, logic, artificial intelligence and theoretical computing are influencing each other to the extent that a new interdisciplinary area of Logic and Computation is emerging. The Journal of Logic and Computation aims to promote the growth of logic and computing, including, among others, the following areas of interest: Logical Systems, such as classical and non-classical logic, constructive logic, categorical logic, modal logic, type theory, feasible maths.... Logical issues in logic programming, knowledge-based systems and automated reasoning; logical issues in knowledge representation, such as non-monotonic reasoning and systems of knowledge and belief; logics and semantics of programming; specification and verification of programs and systems; applications of logic in hardware and VLSI, natural language, concurrent computation, planning, and databases. The bulk of the content is technical scientific papers, although letters, reviews, and discussions, as well as relevant conference reviews, are included.