Legal compliance in a linked open data framework

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Author(s)
Francesconi, E
Governatori, G
Griffith University Author(s)
Year published
2019
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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.
Conference Title
Frontiers in Artificial Intelligence and Applications
Volume
322
DOI
Copyright Statement
© 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Subject
Computation Theory and Mathematics
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