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Taking stock of legal ontologies: a feature-based comparative analysis

Authors :
Luigi Di Caro
Valentina Leone
Serena Villata
Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)
Università degli studi di Torino (UNITO)
Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS)
Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS)
Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S)
Université Nice Sophia Antipolis (... - 2019) (UNS)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)
Università degli studi di Torino = University of Turin (UNITO)
Université Nice Sophia Antipolis (1965 - 2019) (UNS)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)
Leone Valentina
Di Caro Luigi
Villata Serena
Source :
Artificial Intelligence and Law, Artificial Intelligence and Law, Springer Verlag, 2020, 28 (2), pp.207-235. ⟨10.1007/s10506-019-09252-1⟩, Artificial Intelligence and Law, 2020, 28 (2), pp.207-235. ⟨10.1007/s10506-019-09252-1⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; Ontologies represent the standard way to model the knowledge about specific domains. This holds also for the legal domain where several ontologies have been put forward to model specific kinds of legal knowledge. Both for standard users and for law scholars, it is often difficult to have an overall view on the existing alternatives, their main features and their interlinking with the other ontologies. To answer this need, in this paper, we address an analysis of the state-of-the-art in legal ontologies and we characterise them along with some distinctive features. This paper aims to guide generic users and law experts in selecting the legal ontology that better fits their needs and in understanding its specificity so that proper extensions to the selected model could be investigated.

Details

Language :
English
ISSN :
09248463 and 15728382
Database :
OpenAIRE
Journal :
Artificial Intelligence and Law, Artificial Intelligence and Law, Springer Verlag, 2020, 28 (2), pp.207-235. ⟨10.1007/s10506-019-09252-1⟩, Artificial Intelligence and Law, 2020, 28 (2), pp.207-235. ⟨10.1007/s10506-019-09252-1⟩
Accession number :
edsair.doi.dedup.....068e2e38d89d0fd66349369c71d6032f
Full Text :
https://doi.org/10.1007/s10506-019-09252-1⟩