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Legal Compliance in a Linked Open Data Framework
Enrico Francesconi, Guido Governatori
175 - 180
10.3233/FAIA190321
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 322: Legal Knowledge and Information Systems
Abstract

An approach for legal compliance representation and checking within a Linked Open Data framework is presented. It is based on modeling deontic norms in terms of ontology and ontology property restrictions. It is also shown how the approach can handle norm defeasibility. Such methodology is implemented by decidable fragments of OWL 2, while legal reasoning is implemented by available decidable reasoners.

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