Improving Public Access to Legislation Through Legal Citations Detection: The Linkoln Project at the Italian Senate

被引:1
作者
Bacci, Lorenzo [1 ]
Agnoloni, Tommaso [1 ]
Marchetti, Carlo [2 ]
Battistoni, Roberto [2 ]
机构
[1] Ist Teoria & Tecn Informaz Giurid ITTIG CNR, Rome, Italy
[2] Senato Repubbl, Rome, Italy
来源
KNOWLEDGE OF THE LAW IN THE BIG DATA AGE | 2019年 / 317卷
关键词
natural language processing; legislative acts; legal references; linked open data;
D O I
10.3233/FAIA190017
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we describe Linkoln, an open framework for the automatic detection and linking of legal references contained in legal texts. The problem was tackled by providing a modular and extensible approach in order to efficiently cover the wide variability and specific peculiarities of legal citation practices. The project was initiated in collaboration with the Italian Senate with the aim to make available to Italian legislative authorities and official publishing bodies, a robust and extensible automatic tool to improve access to published legislation. The result of this effort is Linkoln which was recently successfully integrated in the application serving documents on the institutional website of the Italian Senate to activate hyperlinks to cited legislation.
引用
收藏
页码:149 / 158
页数:10
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