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…

In this paper we present a method to automatically identify linguistic contexts which contain possible causes of emotions or emotional states from Italian newspaper articles (La Repubblica Corpus). Our methodology is based on the interplay between relevant linguistic patterns and…

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…

Computing is a broad discipline that crosses the boundaries between mathematics, science, and engineering. New computing disciplines emerge over time and knowledge changes rapidly in computing. Therefore, several reports that define and update guidelines for computing curricula have appeared over…

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…

La Gramática del Papel y la Referencia es una teoría funcional del lenguaje que permite la representación de un texto de entrada en términos de su estructura lógica. Con el fin de ir más allá de la gramática nuclear, el…

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…