Este artículo presenta la aplicación de un sistema general de Extracción de Información desarrollado para extraer conocimiento conceptual y factual de textos al dominio específico de la biomedicina. El sistema, previamente desarrollado durante el proyecto KYOTO, está basado en reglas,…

The exponential increase of subjective, user-generated content since the birth of the Social Web, has led to the necessity of developing automatic text processing systems able to extract, process and present relevant knowledge. In this paper, we tackle the Opinion…

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…

En este artículo presentamos una aproximación novedosa para obtener la terminología de un dominio utilizando las estructuras de páginas y categorías de Wikipedia de una forma independiente del dominio y de la lengua. La idea es aprovechar el grafo de…

En este trabajo se presenta un método para la generación automática de resúmenes basado en grafos semánticos. El sistema utiliza conceptos y relaciones de WordNet para construir un grafo que representa el documento, así como un algoritmo de clustering basado…

The development of a data warehouse (DW) system is based on a conceptual multidimensional model, which provides a high level of abstraction in accurately and expressively describing real-world situations. Once this model is designed, the corresponding logical representation must be…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

This paper describes a new method for cross-lingual textual entailment (CLTE) detection based on machine translation (MT). We use sub-segment translations from different MT systems available online as a source of cross-lingual knowledge. In this work we describe and evaluate…

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…