Language Resources as Linked Data for the Legal Domain

被引：1

作者：

Martin-Chozas, Patricia ^{[1
]}

Montiel-Ponsoda, Elena ^{[1
]}

Rodriguez-Doncel, Victor ^{[1
]}

机构：

[1] Univ Politecn Madrid, Ontol Engn Grp, Madrid, Spain

来源：

KNOWLEDGE OF THE LAW IN THE BIG DATA AGE | 2019年 / 317卷

基金：

欧盟地平线“2020”;

关键词：

legal language resources; terminology extraction; linked data; legal knowledge graph; MODEL;

D O I：

10.3233/FAIA190019

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：170 / 180

页数：11