Within the context of globalisation, the diversification of learning contexts and the implementation of national and transnational policy measures concerning teacher education, teaching competences and lifelong learning, teacher identity has emerged as being problematic and paradoxical. Drawing on recent research…

Algunas aplicaciones del procesamiento del lenguaje natural, p.ej. la traducción
automática, requieren una base de conocimiento provista de representaciones conceptuales que
puedan reflejar la estructura del sistema cognitivo del ser humano. En cambio, tareas como la
indización automática o la…

In the last decade, advertising agency industry has experienced an enormous growth prompted by the structural and technological advances. According to The European Advertising and Media Forecast, from 1990 to 2000, in the assembly of the countries of the European…

El artículo trata sobre el uso de información lingüística en la Desambiguación Semántica Automática (DSA). Proponemos un método de DSA basado en conocimiento y no supervisado, que requiere sólo un corpus amplio, previamente etiquetado a nivel morfológico, y muy poco…

In this work we present a method to calculate the spectrum of the fundamental primaries of a digital camera from the experimental knowledge of its spectral sensitivities. The color triangle of the camera, linked to the chromaticities of its primaries,…

A pesar del progreso que se realiza en el Procesamiento del Lenguaje Natural (PLN) aún estamos lejos de la Comprensión del Lenguaje Natural. Un paso importante hacia este objetivo es el desarrollo de técnicas y recursos que traten conceptos en…

We present a new algorithm to process captured images of reflected Placido rings. Up to our knowledge, conventional topographers transform from Cartesian to polar coordinates and vice-versa, thus extrapolating corneal data and introducing noise and image artefacts. Moreover, captured data…

This paper uses dynamic general equilibrium and computational methods, inspired by the multi-sector growth model structure in Stephen Turnovsky’s previous and more recent work, to develop a theory that unifies two of the traditional explanations of structural change: sector-biased technical…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

This paper describes the development of an image retrieval
system that combines probabilistic and ontological information1. The
process is divided in two different stages: indexing and retrieval. Three
information flows have been created with different kind of information
each one:…