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Memorias de investigación
Artículos en revistas:
Arguments That Support Decisions in e-Cognocracy: A Qualitative Approach Based on Text Mining Techniques
Año:2009
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
E-cognocracy [1-5] is a new democratic system that tries to adequate democracy to needs and challenges of Knowledge Society. This is a cognitive democracy oriented to the extraction and democratization of the knowledge related with the scientific resolution of public decision making problems associated with the governance of society. It is based [3,6] on the evolutionism of live systems and it can be understood as the government of the knowledge and wisdom by means of the information and communication technology (ICT). E-cognocracy combines the representative and the participative democracies by aggregating the preferences of the political parties with those of citizens and by generating knowledge from the conjoint discussion of the arguments that support their own positions. This paper presents a qualitative approach based in text mining tools to identify these arguments from the analysis of the messages and comments elicited by political parties and citizens through a collaborative tool (forum). The proposed methodology has been applied to a case study developed with students of the Faculty of Economics at the University of Zaragoza and related with the potential location at the region of Aragón (Spain), of the greatest leisure project in Europe (Gran Scala).
Internacional
Si
JCR del ISI
No
Título de la revista
Lecture Notes in Computer Science
ISSN
0302-9743
Factor de impacto JCR
0
Información de impacto
Volumen
5736/2009
DOI
10.1007/978-3-642-04754-1_44
Número de revista
0
Desde la página
427
Hasta la página
436
Mes
SEPTIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: José María Moreno (Universidad de Zaragoza)
  • Autor: Carolina Gallardo Perez (UPM)
  • Autor: Jesus Cardeñosa Lera (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Validación y Aplicaciones Industriales
  • Departamento: Inteligencia Artificial
  • Departamento: Organización y Estructura de la Información
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