Taking stock of available technologies for compliance checking on first-order knowledge

Loading...
Thumbnail Image
File version

Version of Record (VoR)

Author(s)
Robaldo, L
Batsakis, S
Calegari, R
Calimeri, F
Fujita, M
Governatori, G
Morelli, MC
Pisano, G
Satoh, K
Tachmazidis, I
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location

Bologna, Italy

Abstract

This paper analyses and compares some of the automated reasoners that have been used in recent research for compliance checking. We are interested here in formalizations at the first-order level. Past literature on normative reasoning mostly focuses on the propositional level. However, the propositional level is of little usefulness for concrete LegalTech applications, in which compliance checking must be enforced on (large) sets of individuals. This paper formalizes a selected use case in the considered reasoners and compares the implementations. The comparison will highlight that lot of further research still need to be done to integrate the benefits featured by the different reasoners into a single standardized first-order framework. All source codes are available at https://github.com/liviorobaldo/compliancecheckers.

Journal Title
Conference Title

CEUR Workshop Proceedings

Book Title
Edition
Volume

3204

Issue
Thesis Type
Degree Program
School
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Item Access Status
Note
Access the data
Related item(s)
Subject

Artificial intelligence

Persistent link to this record
Citation

Robaldo, L; Batsakis, S; Calegari, R; Calimeri, F; Fujita, M; Governatori, G; Morelli, MC; Pisano, G; Satoh, K; Tachmazidis, I, Taking stock of available technologies for compliance checking on first-order knowledge, CEUR Workshop Proceedings, 2022, 3204, pp. 1-16