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

Authors :
Leone, Valentina
Di Caro, Luigi
Villata, Serena
Source :
Artificial Intelligence & Law; Jun2020, Vol. 28 Issue 2, p207-235, 29p
Publication Year :
2020

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09248463
Volume :
28
Issue :
2
Database :
Complementary Index
Journal :
Artificial Intelligence & Law
Publication Type :
Academic Journal
Accession number :
143543763
Full Text :
https://doi.org/10.1007/s10506-019-09252-1