One of the most difficult problems that humanity currently faces is the sustainable development of our society, i.e. how to meet the needs of the present without compromising the ability of future generations to meet their own needs. Solving this…

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…

Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire wide knowledge of the domain, thus requiring a high level of expertise and becoming it a prone-to-fail task. Based on our experience, we have…

Global discourse structures and local discourse relations are complementary modes of textual organization which an automated text generation system must account for and treat as interactive knowledge resources. To illustrate this interaction, we analyse a medical case report in terms…

Social knowledge is one of the key aspects of MAS in order to face complex problems in dynamical environments. However, it is usually incorporated without specific support on behalf of the platform and that does not let agents take all…

This paper present the structure, function and performance of SPOST, a broad coverage, rule-based part-of-speech tagger developed as a component of the Pagnlyzer Spanish Analysis Component of the Pangloss Knowledge-based Machine Translation System. It also describes preparations for the general…

This paper presents a proposal enabling the modelling of manufacturing processes independently of the structure and composition of the industrial plant where these processes will ultimately be implemented. The rationale for the proposal is in the incorporation of knowledge, supported…

Multi-agent systems (MAS) offer an approach to solve complex problems where data and control are inherently distributed among several agents. Normally, agents have to cope with conflicts based on inconsistent knowledge which arise when they exchange information. A relative common…

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…

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…