This paper describes the philosophy behind our tool called "Legal Taxonomy Syllabus", the analytical instruments it provides and some case studies. The Legal Taxonomy Syllabus is an ontology based tool designed to annotate and recover multi-lingua legal information and build conceptual dictionaries. The Legal Taxonomy Syllabus allows to build legal dictionaries in a bottom up fashion starting from the annotation of legal terms by legal terminological experts and to let legal ontology engineers refine the resulting taxonomies of concepts. The Legal Taxonomy Syllabus and its analytical tools provide help to lawyers to study the peculiarities of European Union Directives concerning the polysemy of legal terms, and the terminological and conceptual misalignment. By means of two case studies we show how the Legal Taxonomy Syllabus can help the processes of drafting and translating of the Directives.

Terminological and Ontological Analysis of European Directives: Multilinguism in Law

AJANI, Gianmaria;LESMO, Leonardo;BOELLA, Guido;MAZZEI, Alessandro;P. ROSSI
2007-01-01

Abstract

This paper describes the philosophy behind our tool called "Legal Taxonomy Syllabus", the analytical instruments it provides and some case studies. The Legal Taxonomy Syllabus is an ontology based tool designed to annotate and recover multi-lingua legal information and build conceptual dictionaries. The Legal Taxonomy Syllabus allows to build legal dictionaries in a bottom up fashion starting from the annotation of legal terms by legal terminological experts and to let legal ontology engineers refine the resulting taxonomies of concepts. The Legal Taxonomy Syllabus and its analytical tools provide help to lawyers to study the peculiarities of European Union Directives concerning the polysemy of legal terms, and the terminological and conceptual misalignment. By means of two case studies we show how the Legal Taxonomy Syllabus can help the processes of drafting and translating of the Directives.
Eleventh international conference on artificial intelligence and law ICAIL 2007
Stanford, USA
4-8 Giugno
Proceedings of Eleventh International Conference on ARTIFICIAL INTELLIGENCE and LAW ICAIL 2007
The Association for Computing Machinery (ACM)
43
48
9781595936806
G. AJANI; L. LESMO; G. BOELLA; A. MAZZEI; P. ROSSI
File in questo prodotto:
File Dimensione Formato  
ICAIL07.pdf

Accesso riservato

Tipo di file: PDF EDITORIALE
Dimensione 405.15 kB
Formato Adobe PDF
405.15 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/100785
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? ND
social impact