El aprovechamiento del deporte por la política: datos culturales para un análisis sociológico

CAPITULO PRIMERO: EL DEPORTE EN LA SOCIEDAD (SU EVOLUCIÓN) - El primer Estadio dentro de la evolución histórica del deporte corresponde sin lugar a dudas a Grecia. - La Iglesia y el deporte. (Los Doctores de la Iglesia). - La sociedad: Definición - Concepto de deporte. (Su importancia social). - Visión sociológica del deporte. Conclusión. CAPITULO SEGUNDO: EL ABANDONO INTELECTUAL DEL DEPORTE. - La educación fisica ante el humanismo - Los intelectuales ante el deporte - El papel del intelectual. Lo que es y lo que significa, reflejado en las palabras del gran filósofo JEAN-PAUL SARTRE. CAPITULO TERCERO: DEPORTE, REFLEJO DE LAS CATEGORÍAS DEL SISTEMA CAPITALISTA . - Introducción: El capitalismo; conclusiones. - El Modelo del Estado socialista, - Visión comunista. ¿Cual es la actitud del Estado comunista ante el fenómeno deportivo? - El deporte Soviético: Preguntas y respuestas. - JEAN-PAUL SARTRE opina sobre uno de sus viajes a la Unión Soviética - Visión de un intelectual soviético en contraposición a las opiniones de un intelectual francés, acerca del pueblo ruso - Conclusiones - Marco gubernamental de la politica deportiva en nuestro país. CAPITULO CUARTO: "EL OLIMPISMO" "SU SIGNIFICADO POLITICO" - El movimiento de restauración del Olimpismo. - El gran exibicionismo político. - Historia de los juegos olimpicos. De Atenas a Moscú. Cada cuatro años la maldición olimpica

Ontology-based access to sensor data streams

Sensor networks are increasingly becoming one of the main sources of Big Data on the Web. However, the observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse these data for other purposes than those for which they were originally set up. In this thesis we address these challenges, considering how we can transform streaming raw data to rich ontology-based information that is accessible through continuous queries for streaming data. Our main contribution is an ontology-based approach for providing data access and query capabilities to streaming data sources, allowing users to express their needs at a conceptual level, independent of implementation and language-specific details. We introduce novel query rewriting and data translation techniques that rely on mapping definitions relating streaming data models to ontological concepts. Specific contributions include: • The syntax and semantics of the SPARQLStream query language for ontologybased data access, and a query rewriting approach for transforming SPARQLStream queries into streaming algebra expressions. • The design of an ontology-based streaming data access engine that can internally reuse an existing data stream engine, complex event processor or sensor middleware, using R2RML mappings for defining relationships between streaming data models and ontology concepts. Concerning the sensor metadata of such streaming data sources, we have investigated how we can use raw measurements to characterize streaming data, producing enriched data descriptions in terms of ontological models. Our specific contributions are: • A representation of sensor data time series that captures gradient information that is useful to characterize types of sensor data. • A method for classifying sensor data time series and determining the type of data, using data mining techniques, and a method for extracting semantic sensor metadata features from the time series.

Enabling query technologies for the semantic sensor web

Sensor networks are increasingly being deployed in the environment for many different purposes. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this data, for other purposes than those for which they were originally set up. The authors propose an ontology-based approach for providing data access and query capabilities to streaming data sources, allowing users to express their needs at a conceptual level, independent of implementation and language-specific details. In this article, the authors describe the theoretical foundations and technologies that enable exposing semantically enriched sensor metadata, and querying sensor observations through SPARQL extensions, using query rewriting and data translation techniques according to mapping languages, and managing both pull and push delivery modes.

The road to e-services: online and mobile games as enablers

Institute for Prospective Technological Studies Mission: - to provide customer-driven support to the EU policymaking process - by developing science based responses to policy challenges - having both socio-economic and scientific /technological dimension.

On correctness in RDF stream processor benchmarking

Two complementary benchmarks have been proposed so far for the evaluation and continuous improvement of RDF stream processors: SRBench and LSBench. They put a special focus on different features of the evaluated systems, including coverage of the streaming extensions of SPARQL supported by each processor, query processing throughput, and an early analysis of query evaluation correctness, based on comparing the results obtained by different processors for a set of queries. However, none of them has analysed the operational semantics of these processors in order to assess the correctness of query evaluation results. In this paper, we propose a characterization of the operational semantics of RDF stream processors, adapting well-known models used in the stream processing engine community: CQL and SECRET. Through this formalization, we address correctness in RDF stream processor benchmarks, allowing to determine the multiple answers that systems should provide. Finally, we present CSRBench, an extension of SRBench to address query result correctness verification using an automatic method.

Demo paper: tablet-based visualization of transportation data in Madrid using SPARQLStream

In this demo paper we describe an iOS-based application that allows visualizing live bus transport data in Madrid from static and streaming RDF endpoints, reusing the Web services provided by the bus transport authority in the city and wrapping them using SPARQLStream

Innovations in the video game industry: changing global markets

The paper examines the video game industry in the perspective of being the paradigm of innovation in digital media and content. In particular, it analyses the response to two main factors that have impacted this industry over the last decade. First, it tracks the evolution of its global market and its emerging geography with the rise of Asia. Second, within this global landscape the paper explores how the changes derived from mobile and on-line gaming enabled major transformations of this industry. From here, some conclusions on the lessons from the evolution of this sector for the whole media and content industries are presented.