Most search methods in metric spaces assume that the topology of the object collection is reasonably regular. However, there exist nested metric spaces, where objects in the collection can be grouped into clusters or subspaces, in such a way that…

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as…

Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they can be used to improve integration…

This article describes strategies devised to improve the efficiency of two classical index data structures for parallel textual databases. The design and cost evaluation is effected on top of the bulk-synchronous model of parallel computing. This allows us to compare…

This paper describes an approach to On Line Analytical Processing (OLAP), expresed in the declarative programming paradigm.
We define a collection of functions that capture some of the functionality currently provided by multidimensional database product. This is done by defining…

La obtención de conocimiento a partir de la información existente es un proceso no trivial que consiste en identificar patrones válidos, novedosos, potencialmente útiles y comprensibles a partir de los datos disponibles. La Minería de Datos es el área de…

Using COTS software promises faster time-to-market, which can yield substantial advantages over competitors with regards to earlier placement of a new product on a market. At the same time, component-based software introduces risks, such as unknown quality properties of the…

During the last years a lot of projects and lines of research have emerged from different proposals trying to find the best way to reach data integration. Two powerful techniques have appeared separately – ontology and contextual information – in…

The star model, broadly used in data warehouse modeling, is a logical model, so its representation is strongly dependent on the database technology used for its implementation, usually relational. The method recommended for designing a dimensional system would be the…

In a scene where stakeholders are geographically distributed, communication presents new challenges for research areas. Considering the characteristics of interpersonal communication and the virtual area where it is carried out, the importance of applying interdisciplinary approaches, such as Cognitive Engineering,…