Paper Info
Title
Taking stock of legal ontologies: a feature-based comparative analysis
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.
Year
DOI
Venue
2020
10.1007/s10506-019-09252-1
Artificial Intelligence and Law
Keywords
DocType
Volume
Legal ontologies, Semantic web, Modelling legal knowledge
Journal
28
Issue
ISSN
Citations 
2
0924-8463
2
PageRank 
References 
Authors
0.39
0
3
Name
Order
Citations
PageRank
Valentina Leone120.39
Luigi Di Caro219535.21
serena villata355870.95