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Identification of Contradictions in Regulation
Michał Araszkiewicz, Enrico Francesconi, Tomasz Zurek
151 - 160
10.3233/FAIA210331
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 346: Legal Knowledge and Information Systems
Abstract

This paper presents a Semantic Web–based model for detecting contradictions in regulations. We introduce a conceptual model of contradictions and, on the basis of this model, a knowledge representation–based model is used, which is able to represent the semantics of provision types and related properties. The usefulness of the model is shown through an example.

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