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…

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…

INVENIO es un sistema que dota de la capacidad de búsqueda semántica sobre la plataforma Google Search Appliance de Google. Es un sistema basado en tecnologías de la Web Semántica y que transforma las consultas realizadas por el usuario en…

This article analyzes the appropriateness of a text summarization system, COMPENDIUM, for generating abstracts of biomedical papers. Two approaches are suggested: an extractive (COMPENDIUM E), which only selects and extracts the most relevant sentences of the documents, and an abstractive-oriented…

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…

Objetivos: Las ontologías son un recurso que permite trabajar informáticamente con la conceptualización del significado y evitar la limitación impuesta por los términos normalizados. El objetivo de este estudio es establecer el grado de usabilidad de las terminologías para el…

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…

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…