AbstractDue to aspect-oriented mechanisms explosion, their concepts arrive to distributed systems tackling concepts as security, persistence, or synchronization, especially in middleware approaches. Regarding distributed databases, the research has been focused mainly on object-oriented databases. Based on the great impact of…

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…

Participaron en el estudio dieciseis sujetos de ocho a diez años de edad, con el objeto de analizar experimentalmente la generalización de respuesta en operaciones de división, con base en el entrenamiento (instrucción sobre un ejemplo más retroalimentación) de tareas…

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…

Nowadays, data intensive applications are in constant demand and there is need of computing environments with better intelligent capabilities than those present in today's Database Management Systems (DBMS). To build such systems we need formalisms that can perform complicate inferences,…

This paper presents a data structure based on Sparse Spatial Selection (SSS) for similarity searching. An algorithm that tries periodically to adjust pivots to the use of database index is presented. This index is dynamic. In this way, it is…

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…

A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized views. Owing to the constraint on space and maintenance cost, the materialization of all views is unfeasible. One of the critical decisions involved in the…