Patterns for legal compliance checking in a decidable framework of linked open data

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Abstract

This paper presents an approach for legal compliance checking in the Semantic Web which can be effectively applied for applications in the Linked Open Data environment. It is based on modeling deontic norms in terms of ontology classes and ontology property restrictions. It is also shown how this approach can handle norm defeasibility. Such methodology is implemented by decidable fragments of OWL 2, while legal reasoning is carried out by available decidable reasoners. The approach is generalised by presenting patterns for modeling deontic norms and norms compliance checking.

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Francesconi, E., & Governatori, G. (2023). Patterns for legal compliance checking in a decidable framework of linked open data. Artificial Intelligence and Law, 31(3), 445–464. https://doi.org/10.1007/s10506-022-09317-8

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