Ontology mapping involves the task of finding similarities among overlapping sources by using ontologies. In a Federated System in which distributed, autonomous and heterogeneous information sources must be integrated, ontologies have emerged as tools to solve semantic heterogeneity problems. In…

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…

We present point slicing, a new slicing technique for imperative programs that gives an answer to the question Which sentences can be executed if sentence p is executed?, very common in program testing, debugging, and understanding tasks and, as far…

As a contribution to consider software projects to be risk investments, it is important the full standardization of either the planning methodology (as a subset of project management methodology) and the effort estimation method. We think there is important and…

In this paper, we present a UML profile and a group of UML patterns for documenting the component-and-connector views of software architectures [8]. They facilitate the creation of the component and connector viewtype in any UML 2.0 tool with a…

En este artículo se presentan datos experimentales de resistencia a flexión y a compresión de morteros de cemento Portland con adición y sustitución de breas de petróleo y de alquitrán de carbón, que son subproductos de la industria del carbón…

El presente artículo describe un sistema de adquisición de datos para un medidor de deformación. Se presenta el análisis del diseño de la circuitería y la programación, los resultados obtenidos y finalmente algunas conclusiones.

Descripción completa.

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…