Language Resources as Linked Data for the Legal Domain
Martín-Chozas Patricia, M. Silva Elena, Victor Rodrı́guez-Doncel · Frontiers in artificial intelligence and applications · 2019
This Chapter describes a four-stage methodology to generate Linguistic Linked Data for the legal domain: identification, creation, transformation (to RDF) and linking. The goal of this process is to enhance the presence of legal language resources in the Linguistic Linked Open Data cloud. Since this Chapter is framed within the H2020 LYNX project, aimed at creating a Legal Knowledge Graph, a parallel objective is to employ the resources generated as a linguistic foundation to annotate, classify and translate the legal resources represented in this graph.