Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Modeling Relevant Legal Information for Consumer Disputes
Año:2016
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Accessing relevant legal information found in text excerpts from heterogeneous sources is essential to the decision making process in consumer disputes. The Ontology of Relevant Legal Information in Consumer Disputes (ric) is the domain-independent ontology modeling this relevant legal information comprising rights, their requisites, exceptions, constraints, enforcement procedures, legal sources. Its use is exemplified with one extension thereof, the Air Transport Passenger Incidents Ontology (ric-atpi), representing both the possible incidents triggered by a complaint in the air transport passenger domain and the related legal information that might be applicable. The Ontology models the key provisions found in the hard law, and those in soft law, comprising heterogeneous sources in a structured manner. An ontology-based system provides the knowledge embedded in the legal sources and their relation to the specific scenario.
Internacional
Si
Nombre congreso
5th Int. Conf. on Electronic Government and the Information Systems Perspective (EGOVIS)
Tipo de participación
960
Lugar del congreso
Oporto, Portugal
Revisores
Si
ISBN o ISSN
978-3-319-44158-0
DOI
Fecha inicio congreso
05/09/2016
Fecha fin congreso
08/09/2016
Desde la página
150
Hasta la página
165
Título de las actas
Proc. of the 5th Int. Conf. on Electronic Government and the Information Systems Perspective (EGOVIS)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Cristiana Santos (UAB)
  • Autor: Victor Rodriguez Doncel (UPM)
  • Autor: Pompeu Casanovas (UAB)
  • Autor: Leon van der Torre (University of Luxembourg,)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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