The Unified Modeling Language (UML) is a language for visualizing, specifying, constructing, and documenting the artifacts of a software-intensive system. UML supports the most typical software modeling problems; however, due to the diversity of software development domains, there may be…

Nowadays, technology has become the key element to carry out the management, organization and fulfillment of the electoral process. The electoral process should be understood as the actions that entail the making of the electoral roll, citizen identification, the act…

In this work, a conceptual framework and the associated strategies for metrics and model validation are analyzed regarding website measurement and evaluation. Particularly, we have conducted three case studies in different Web domains in order to evaluate and compare the…

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…