Due to the dynamic nature of the Web as well as its heterogeneous audience, web applications are more likely to rapidly evolve leading to inconsistencies among requirements during the development process. With the purpose to deal with these inconsistencies, web…

Tesis doctoral en Informática realizada por Montse Cuadros y dirigida por Dr. Lluís Padró y Dr. German Rigau. La defensa de la tesis fue en la facultad de Informática de la Universitat Politècnica de Catalunya el día 22 de noviembre…

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…

En el presente trabajo se recogen las reglas de formación y los criterios de aplicación que se deberían llevar a cabo en cada situación para permitir la identificación automatizada de uno de los procesos de formación de palabras que tiene…

Presentation of existing curricula connected with usability and accessibility at the University of Alicante for the Leonardo da Vinci project "GUI Usability and Accessibility: Exchanging Knowledge and Experiences" (Grenoble, France, 27 November 2012)., Presentación del currículo actual relacionado con la…

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…

Geographic knowledge discovery (GKD) is the process of extracting information and knowledge from massive georeferenced databases. Usually the process is accomplished by two different systems, the Geographic Information Systems (GIS) and the data mining engines. However, the development of those…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

The extension to new languages is a well known bottleneck for rule-based systems. Considerable human effort, which typically consists in re-writing from scratch huge amounts of rules, is in fact required to transfer the knowledge available to the system from…

In this paper, we present SEDiL, a Software for Edit Distance Learning. SEDiL is an innovative prototype implementation grouping together most of the state of the art methods that aim to automatically learn the parameters of string and tree edit…