Semantic Model for the Legal Maintenance: the Case of Semantic Annotation of France Legislative and Regulatory Texts - Université Toulouse III - Paul Sabatier - Toulouse INP Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Semantic Model for the Legal Maintenance: the Case of Semantic Annotation of France Legislative and Regulatory Texts

Résumé

In different domains, compliance with legal documents about industrial maintenance is crucial. Legal industrial maintenance is the legal commitment of a company to control, maintain and repair its equipments. With the evolution of legal texts, companies are increasingly adopting automatic processing of legal texts in order to extract their key elements and to support the task of analysis and compliance. To perform such a task of knowledge extraction, a number of state-of-the-art proposal relies on a semantic model. Based on existing models from both legislative and industrial maintenance domains, we propose a new semantic model for the legal industrial maintenance: SEMLEG (SEmantic Model for the LEGal maintenance). This model results from an analysis of documents extracted from the Légifrance French governmental website.
Fichier principal
Vignette du fichier
LN2FR_2022.pdf (2.18 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04212544 , version 1 (20-09-2023)

Licence

Paternité

Identifiants

  • HAL Id : hal-04212544 , version 1

Citer

Julien Breton, Mokhtar Boumedyen Billami, Max Chevalier, Cassia Trojahn. Semantic Model for the Legal Maintenance: the Case of Semantic Annotation of France Legislative and Regulatory Texts. Workshop on Methodologies for Translating Legal Norms into Formal Representations (LN2FR 2022) in conjunction with JURIX 2022, Dec 2022, Saarbrücken, Germany. ⟨hal-04212544⟩
68 Consultations
4 Téléchargements

Partager

Gmail Facebook X LinkedIn More