چکیده (انگلیسی):

Cognitive democracies can be defined as new models of e-democracy that are based on the evolutionism of living systems and deal with their vital (cognitive) process by means of the continuous education of citizens with regards to one of the essential characteristics of humankind: decision making. The education is provided by the social democratisation of the knowledge. This corresponds to the proportion of the arguments that support the positions. These arguments are extracted from the opinions expressed in the discussion stages included in the e-democracy models. (Moreno-Jiménez et al., 2012) presented a collaborative platform which is currently being used as the methodological support for the cognitive democracy known as e-cognocracy (Moreno-Jiménez, 2003a, Moreno-Jiménez, 2004, Moreno-Jiménez, 2006, Moreno-Jiménez and Polasek, 2003 and Moreno-Jiménez and Polasek, 2005) and for identifying and classifying the messages or opinions that favour the different individual positions through the employment of quantitative (data mining) and qualitative (text mining) approaches. This paper represents the next step in the phase concerned with extraction of the policy-making arguments. Using opinion analysis techniques, the new e-learning tool extracts the arguments that support the different opinions. This tool has been applied to the discussion stage of a case study developed at the University of Zaragoza concerning the possible location of Europe’s biggest leisure complex (Gran Scala) in Aragon (Spain).