José-Norberto Mazón López

Model-driven reverse engineering for data warehouse design

Este trabajo ha sido financiado por los proyectos METASIGN (TIN2004-00779) del Ministerio de Educacion y Ciencia y DADS(PBC-05-012-2) de la Consejeria de Educacion y Ciencia de Castilla-La Mancha. J.-N. Mazon dispone de una beca FPU (AP2005-1360) del Ministerio de Educacion y Ciencia.Data warehouses integrate several operational sources to provide a multidimensional analysis of data, thus improving the decision making process. Therefore, an in-depth analysis of these data sources is crucial for data warehouse development. Traditionally, this analysis has been based on a set of informal guidelines or heuristics to support the manually discovery of multidimensional elements on a well-known documentation. Therefore, this task may become highly tedious and prone to fail. In this paper, MDA (Model Driven Architecture) is used to design a reverse engineering process in which the following tasks are performed (i) obtain a logical representation of data sources (ii) mark this logical representation with multidimensional concepts, and (iii) derive a conceptual multidimensional model from the marked model.

Airway Pressure as a Determining Factor for Ventilation and Haemodynamic Efficiency During HFJV

During the use of HFJV normocarbia is achieved with frequencies near to 100 b.p.m. creating minimum pressure in the airway passage and using a volume discretely superior to dead volume (1,2).

Open Data y turismo. Implicaciones para la gestión turística en ciudades y destinos turísticos inteligentes

The emergence of the Internet and the spread of information and communication technologies (ICT) have generated interesting opportunities for the planning and management of cities and tourism destinations of the twenty-first century. In this scenario, urban environments produce a large amount of data as a direct consequence of the intensive use of ICTs. This study addresses the concept of Open Data from two assumptions. On the one hand, thatits application in the field of tourism can generate an innovative ecosystem that improves the tourist experience, thanks to the design of ICT products and services. And, on the other, that its current degree of application in tourism is low and needs support measures. In order to corroborate these assumptions, two objectives are proposed. First, and from a theoretical-conceptual perspective, to deepen the terminology of Open Data, related concepts and their implications for tourism management. Second, to determine their current degree of application in tourism, in order to propose recommendations that favor their use. To this end, the Open Data sets in tourism of the Spanish Network of Smart Cities (RECI) are analyzed. This study constitutes a starting point in the research of the relationships between Open Data and tourism.