Lynx: A knowledge-based AI service platform for content processing, enrichment and analysis for the legal domain

Moreno Schneider, J. ; Rehm, G. ; Montiel-Ponsoda, E. ; Rodríguez-Doncel, V. ; Martín-Chozas P. ; Navas-Loro, M. ; Kaltenböck, M. ; Revenko, A. ; Karampatakis, S. ; Sageder, C. ; Gracia, Jorge (Universidad de Zaragoza) ; Maganza, F. ; Kernerman, I. ; Lonke, D. ; Lagzdins, A. ; Bosque Gil, J. ; Verhoeven, P. ; Gómez Díaz, E. ; Boil Ballesteros, P.

Resumen: The EU-funded project Lynx focuses on the creation of a knowledge graph for the legal domain (Legal Knowledge Graph, LKG) and its use for the semantic processing, analysis and enrichment of documents from the legal domain. This article describes the use cases covered in the project, the entire developed platform and the semantic analysis services that operate on the documents.

Idioma: Inglés

DOI: 10.1016/j.is.2021.101966

Año: 2022

Publicado en: INFORMATION SYSTEMS 106 (2022), 101966 [18 pp.]
ISSN: 0306-4379

Factor impacto JCR: 3.7 (2022)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 79 / 158 = 0.5 (2022) - Q2 - T2

Factor impacto CITESCORE: 7.9 - Computer Science (Q1)

Factor impacto SCIMAGO: 0.976 - Hardware and Architecture (Q1) - Information Systems (Q1) - Software (Q2)

Financiación: info:eu-repo/grantAgreement/EC/H2020/780602/EU/Building the Legal Knowledge Graph for Smart Compliance Services in Multilingual Europe/Lynx

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)