Este trabajo constituye un primer intento de abordar la detección automática de sujetos elididos y de construcciones impersonales en portugués de Brasil, una tarea que no nos consta que se haya llevado a cabo previamente en esta lengua. Para ello,…

Essential to an audience driven website design philosophy is the organization of information and functionality according to the requirements of the different audience classes. However, at design time, it is often difficult to correctly assess the different needs and requirements…

Most current web engineering approaches don’t have clear criteria for personalization, nor a clear strategy that designers can use to classify users and formulate a personalization strategy for the web site at design time. In this paper, we present a…

Personalization of web sites has become an important issue in web modeling methods. Many of these methods use similar approaches to specify personalization. However even with similar (personalization) requirements the resulting implementations differ. The consequence is that we cannot reuse…

This thesis is focused on temporal information processing, which is a task framed in the field of natural language processing. The aim of this task is to obtain the temporal location and ordering of the events expressed in text or…

Current model-driven Web Engineering approaches (such as OO-H, UWE or WebML) provide a set of methods and supporting tools for a systematic design and development of Web applications. Each method addresses different concerns using separate models (content, navigation, presentation, business…

This paper presents AWAC, a prototype CAWE tool for the automatic generation of adaptive Web applications based on the A-OOH methodology. A-OOH (Adaptive OO-H) is an extension of the OO-H approach to support the modeling of personalized Websites. A-OOH allows…

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…

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…