Design and optimization of distillation columns for ethanol dehydration, using a hydrocarbon as entrainer, implies a good knowledge of vapor-liquid (VLE), liquid-liquid (LLE) and vapor-liquid-liquid equilibrium (VLLE). Chemical process simulation programs always require the use of a thermodynamic model that…

In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of…

Heterogeneous azeotropic distillation is a widely used technique to separate binary azeotropic mixtures into their components. One of its most important applications is the dehydration of ethanol, which is blended with gasoline to obtain automobile fuel. Among all the compounds…

Este artículo presenta un nuevo método totalmente automático de
construcción de bases de conocimiento muy densas y precisas a partir de recursos
semánticos preexistentes. Básicamente, el método usa un algoritmo de Interpretación Semántica de las palabras preciso y de amplia…

Descripción completa.

PET is a nuclear medical examination which constructs a three-dimensional image of metabolism inside the body; in this article is particular, images are taken from the brain. The high complexity inherent to the interpretation of the brain images makes that…

The prey-predator pursuit problem is referenced many times in literature. It is a generic multi-agent problem whose solutions could by applied to many particular instances. Solutions proposed usually apply non-supervised learning algorithms to train prey and predators. Most of these…

The application of the multilingual knowledge encoded in Wikipedia to an open–domain Cross–Lingual Question Answering system
based on the Inter Lingual Index (ILI) module of EuroWordNet is proposed and evaluated. This strategy overcomes the problems due to
ILI’s low coverage…

Short survey carried out at the beginning of the course in order to elicit information about the students' background, future prospects and knowledge of ICT.

Most Natural Language Processing (NLP) systems traditionally use a sequential architecture that represents the classical linguistic levels (lexical-morphological, syntactical, semantic, etc.), but they claim for huge and monolithic modules, that make the backtracking among such modules difficult. By using a…