Memorias de investigación
Ponencias en congresos:
SEEMP: A marketplace for the Labour Market
Año:2007

Áreas de investigación
  • Inteligencia artificial

Datos
Descripción
Employment Services are an important topic in the agenda of local governments and in the EU due to their social implications, such as sustainability, workforce mobility, workers¿ re-qualification paths, training for fresh graduates and students. Many administrations started their own E-Government projects whose imitations emerge as the demand of workers mobility increases. The SEEMP system presented in this paper overcomes this issue in different ways: starting bilateral communications with near-border similar offices, building a federation of the local employment services, and merging isolate trials. The SEEMP approach relies on a distributed semantic service oriented infrastructure able to federate local projects, in order to create geographically aggregated services for employment by leveraging existing local ones. The social and technical aspects of the SEEMP project are presented, showing how the SEEMP system is integrated with National level systems.
Internacional
Si
Nombre congreso
International e-Challenges Conference
Tipo de participación
960
Lugar del congreso
La Haya, Holanda
Revisores
Si
ISBN o ISSN
978-1-58603-801-4
DOI
Fecha inicio congreso
24/10/2007
Fecha fin congreso
26/10/2007
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Título de las actas

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Participantes
  • coautor: D. Cerizza
  • coautor: F. De Paoli
  • coautor: I. Celino
  • coautor: Z. Gutowski
  • coautor: M. Kerrigan
  • coautora: Mariagrazia Fugini
  • coautor: Jaime Ramírez Rodríguez UPM. Facultad de Informática
  • Autor: Boris Marcelo Villazón Terrazas UPM
  • coautor: E. Della Valle
  • coautor: J. Estublier
  • coautor: M. Mezzanzanica
  • coautor: G. Zhao
  • coautor: P. Guarrera
  • coautor: M. Cesarini

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group (LIA). Laboratorio Inteligencia Artificial. Grupo de Ingeniería Ontológica
  • Departamento: Inteligencia Artificial