Ensuring the correctness of a given software component has become a crucial aspect in Software Engineering and the Model Checking technique provides a fully automated way to achieve this goal. In particular, the usage of Model Checking in formal languages…

The Semantic Web attempts to reach a state in the future where everything on the Web will no longer be only machine-readable, but also machine-understandable. An ontology is an explicit specification of a conceptualization. A conceptualization is an abstract, simplified…

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…

En el marco de la traducción automática árabe-inglés, el enfoque pseudointerlingüístico de UniArab ha logrado, incluso con oraciones simples, mejores resultados que los traductores automáticos basados en modelos estadísticos. El éxito de UniArab se cimienta en el modelo funcional de…

Vertical partitioning, in which attributes of a relation are
assigned to partitions, is aimed at improving database
performance. We extend previous research that is based on
a single relation to multi-relation database environment,
by including referential integrity constraints, access time

Este artículo presenta un método de identificación y clasificación de la valencia y las
emociones presentes en un texto. Para ello, se introduce un nuevo concepto denominado
disparador de emoción. Inicialmente, se construye de forma incremental una base de datos

This book provides an excellent foundation for the principles of database and data management. It explains some of the more difficult concepts fairly well. The book is meant for an introductory course in database management which is usually required as…

Numerical Taxonomy aims to group in clusters, using so-called structure analysis of operational taxonomic units (OTUs or taxons or taxa) through numerical methods. Clusters that consitute families was the purpose of this series of last projects.
Structural analysis, based on…

Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, called Sparse Spatial Selection (SSS).
The main characteristic of this method is that it…

Since huge amounts of spatial data can be easily collected from various applications, ranging from remote sensing technology to geographical information system, the extraction and comprehension of spatial knowledge is a more and more important task. Many excellent studies on…