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Modelling Semantic Profiles in Legislative Documents for Enhanced Norm Accessibility

Conference Paper
Publication Date:
2011
abstract:
In this paper an approach to the Semantic Web in the legal domain is discussed: it is obtained by modelling legisla- tive document semantic profiles using a model of normative provisions. An implementation of this approach through RDF/OWL able to describe provisions and their relations is presented. In particular, an implementation of Hohfeldian legal fundamental relations between provisions, as well as a reasoning example by using the proposed approach is shown.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Legislative Document Semantics; Provision Model; Domain Knowledge; Hohfeldian Reasoning; OWL-DL; SPARQL
List of contributors:
Francesconi, Enrico; Agnoloni, Tommaso
Authors of the University:
AGNOLONI TOMMASO
FRANCESCONI ENRICO
Handle:
https://iris.cnr.it/handle/20.500.14243/216952
Book title:
Proceedings of the XIII International Conference on Artificial Intelligence and Law
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