In this paper, we present CRIKE, a data-science approach to automatically detect concrete applications of legal abstract terms in case-law decisions. To this purpose, CRIKE relies on the use of the LATO ontology where legal abstract terms are properly formalized as concepts and relations among concepts. Using LATO, CRIKE aims at discovering how and where legal abstract terms are applied by judges in their legal argumentation. Moreover, we detect the terminology used in the text of case-law decisions to characterize concrete abstract-term instances.
The CRIKE Data-Science Process for Legal Knowledge Extraction / S. Castano, M. Falduti, A. Ferrara, S. Montanelli (CEUR WORKSHOP PROCEEDINGS). - In: SEBD 2019 / [a cura di] M. Mecella, G. Amato, C. Gennaro. - [s.l] : CEUR, 2019. (( Intervento presentato al 27. convegno Italian Symposium on Advanced Database Systems : June 16th to 19th tenutosi a Castiglione della Pescaia (Grosseto) nel 2019.
The CRIKE Data-Science Process for Legal Knowledge Extraction
S. Castano
Primo
;M. Falduti
Secondo
;A. Ferrara
Penultimo
;S. Montanelli
Ultimo
2019
Abstract
In this paper, we present CRIKE, a data-science approach to automatically detect concrete applications of legal abstract terms in case-law decisions. To this purpose, CRIKE relies on the use of the LATO ontology where legal abstract terms are properly formalized as concepts and relations among concepts. Using LATO, CRIKE aims at discovering how and where legal abstract terms are applied by judges in their legal argumentation. Moreover, we detect the terminology used in the text of case-law decisions to characterize concrete abstract-term instances.
| File | Dimensione | Formato | |
|---|---|---|---|
|
paper-09.pdf
accesso aperto
Tipologia:
Publisher's version/PDF
Dimensione
815.56 kB
Formato
Adobe PDF
|
815.56 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
