Taking stock of available technologies for compliance checking on first-order knowledge
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Batsakis, S
Calegari, R
Calimeri, F
Fujita, M
Governatori, G
Morelli, MC
Pisano, G
Satoh, K
Tachmazidis, I
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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.
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CEUR Workshop Proceedings
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3204
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© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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Artificial intelligence
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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