Purpose – The idea that knowledge management can be a potential source of competitive advantage has gained strength in the last few years. However, a number of business actions are needed to generate an appropriate environment and infrastructure for knowledge…

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…

This paper presents an interactive computer simulator that can be used in the
field of practical training in Robotics. The tool can provide basic training for workers as
well as increase their knowledge about robotic concepts. The application offers a…

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…

Este artículo describe la integración de ontologías en formato OWL como
fuentes de conocimiento externas de un sistema de diálogo. El presente trabajo se
centra en conseguir un agente que gestione cualquier ontología independientemente
del dominio y sin perder expresividad…

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:…