This paper presents the result of the research project Lexdatafication that aims to model the legal knowledge information of Italy in Akoma Ntoso. The University of Bologna, in cooperation with IPZS, the Official Gazette entity, developed a framework capable to exploit the existing legacy databases of Normattiva in Akoma Ntoso. Additionally, Constitutional Court decisions were converted in Akoma Ntoso using the existing XML and metadata dataset provided by the open data portal. This output was linked to the legislative information. The collection of the documents in AKN constitutes a great annotated corpus in a machine-consumable format capable to produce relevant legal data analytics applications and visualizations to support both practitioners and citizens in legal information retrieval.

Palmirani Monica (2021). Lexdatafication: Italian Legal Knowledge Modelling in Akoma Ntoso. Cham : Springer [10.1007/978-3-030-89811-3_3].

Lexdatafication: Italian Legal Knowledge Modelling in Akoma Ntoso

Palmirani Monica
2021

Abstract

This paper presents the result of the research project Lexdatafication that aims to model the legal knowledge information of Italy in Akoma Ntoso. The University of Bologna, in cooperation with IPZS, the Official Gazette entity, developed a framework capable to exploit the existing legacy databases of Normattiva in Akoma Ntoso. Additionally, Constitutional Court decisions were converted in Akoma Ntoso using the existing XML and metadata dataset provided by the open data portal. This output was linked to the legislative information. The collection of the documents in AKN constitutes a great annotated corpus in a machine-consumable format capable to produce relevant legal data analytics applications and visualizations to support both practitioners and citizens in legal information retrieval.
2021
AI Approaches to the Complexity of Legal Systems XI-XII
31
47
Palmirani Monica (2021). Lexdatafication: Italian Legal Knowledge Modelling in Akoma Ntoso. Cham : Springer [10.1007/978-3-030-89811-3_3].
Palmirani Monica
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/843063
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