976 resultados para Linked Open Data Android iOS Semantic Web Turismo Tourism


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In this paper we study query answering and rewriting in ontologybased data access. Specifically, we present an algorithm for computing a perfect rewriting of unions of conjunctive queries posed over ontologies expressed in the description logic ELHIO, which covers the OWL 2 QL and OWL 2 EL profiles. The novelty of our algorithm is the use of a set of ABox dependencies, which are compiled into a so-called EBox, to limit the expansion of the rewriting. So far, EBoxes have only been used in query rewriting in the case of DL-Lite, which is less expressive than ELHIO. We have extensively evaluated our new query rewriting technique, and in this paper we discuss the tradeoff between the reduction of the size of the rewriting and the computational cost of our approach.

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En los últimos años la evolución de la información compartida por internet ha cambiado enormemente, llegando a convertirse en lo que llamamos hoy la Web Semántica. Este término, acuñado en 2004, muestra una manera más “inteligente” de compartir los datos, de tal manera que éstos puedan ser entendibles por una máquina o por cualquier persona en el mundo. Ahora mismo se encuentra en fase de expansión, prueba de ello es la cantidad de grupos de investigación que están actualmente dedicando sus esfuerzos al desarrollo e implementación de la misma y la amplitud de temáticas que tienen sus trabajos. Con la aparición de la Web Semántica, la tendencia de las bases de datos de nueva creación se está empezando a inclinar hacia la creación de ontologías más o menos sencillas que describan las bases de datos y así beneficiarse de las posibilidades de interoperabilidad que aporta. Con el presente trabajo se pretende el estudio de los beneficios que aporta la implementación de una ontología en una base de datos relacional ya creada, los trabajos necesarios para ello y las herramientas necesarias para hacerlo. Para ello se han tomado unos datos de gran interés y, como continuación a su trabajo, se ha implementado la ontología. Estos datos provienen del estudio de un método para la obtención automatizada del linaje de las parcelas registradas en el catastro español. Abstract: In the last years the evolution of the information shared on the Internet has dramatically changed, emerging what is called Semantic Web. This term appeared in 2004, defining a “smarter” way of sharing data. Data that could be understood by machines or by any human around the world. Nowadays, the Semantic Web is in expansion phase, as it can be probed by the amount of research groups working on this approach and the wide thematic range of their work. With the appearance of the Semantic Web, current database technologies are supported by the creation of ontologies which describe them and therefore get a new set of interoperability possibilities from them. This work focuses in the study of the benefits given by the implementation of an ontology in a created relational database, the steps to follow and the tools necessary to get it done. The study has been done by using data of considerable interest, coming from a study of the lineage of parcels registered in the Spanish cadaster. As a continuation of this work an ontology has been implemented.

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Query rewriting is one of the fundamental steps in ontologybased data access (OBDA) approaches. It takes as inputs an ontology and a query written according to that ontology, and produces as an output a set of queries that should be evaluated to account for the inferences that should be considered for that query and ontology. Different query rewriting systems give support to different ontology languages with varying expressiveness, and the rewritten queries obtained as an output do also vary in expressiveness. This heterogeneity has traditionally made it difficult to compare different approaches, and the area lacks in general commonly agreed benchmarks that could be used not only for such comparisons but also for improving OBDA support. In this paper we compile data, dimensions and measurements that have been used to evaluate some of the most recent systems, we analyse and characterise these assets, and provide a unified set of them that could be used as a starting point towards a more systematic benchmarking process for such systems. Finally, we apply this initial benchmark with some of the most relevant OBDA approaches in the state of the art.

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La web semántica aporta un mayor conocimiento a los datos para que estos puedan ser procesados por las máquinas. Esto es posible gracias a estándares como por ejemplo Resource Framework Description (RDF). Éste, aporta un marco para que la información pueda ser representada de una manera más comprensible para las maquinas. Muchas veces la información no se encuentra codificada en RDF pero igualmente es interesante aprovecharse de sus características. Es por ello que surge la necesidad de crear una herramienta que permita consultas entre distintas fuentes de datos apoyándose en el estándar RDF independientemente del formato de origen de los datos. De esta manera se conseguirá realizar consultas entre las diversas fuentes, las cuales, sin la unificación en un estándar semántico, serían mucho más difíciles de conseguir.---ABSTRACT---The Semantic Web provides a new knowledge framework to data, therefore computers would become capable of analyzing the data. Standards, as Resource Framework Description (RDF), help to achieve it. RDF promotes the easier way for computers on how to describe data. Sometimes data are coded in a different way from RDF, nevertheless it would also be interesting to examine it. Accordingly, the need to create new software emerges. The software, based on RDF, would be able to combine information from different sources regardless of its format. Consequently, several sources, whatever their original formats were, could be queried on an easier way since a common semantic standard is available.

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Este trabajo trata de evaluar la capacidad de atracción turística de los Puntos de Interés oficiales (POIs) disponibles como datos geográficos abiertos y en las IDE locales mediante la información explícita e implícita de los Tweets geolocalizados. Los estudios sobre turismo tratan de obtener información del potencial turístico de una zona y la valoración de los turistas. Estos estudios tradicionalmente se basan en encuestas o entrevistas personales, realizadas desde entidades públicas o compañías privadas En el caso que nos ocupa existen estudios a nivel de Municipal, de la Comunidad autónoma y de entidades privadas relacionadas con el sector turístico de la cidudad de Madrid por estar considerado un sector estratégico para la economía regional. Las redes sociales, especialmente Twitter, ofrecen un alto potencial para la realización de trabajos de investigación y evaluación de áreas urbanas gracias a la información geográfica digital asociada. Se ha producido una evolución de la Información Geográfica Voluntaria (VGI) acuñada por Goodchild (2007) a la Información Geográfica de Medios Sociales (SMGI) acuñada por Floris y Campagna (2014). Esta nueva fuente de datos derivados, podria complementar la información de los datos públicos de turismo ofrecidos por nodos IDE u Open Data; por ejemplo: ayudaria a la validación de puntos de interés turístico o áreas de la ciudad, mejoraria la actualización de la información y a largo plazo, podria ayudar al desarrollo de estrategias y planes de turismo más eficientes.

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This thesis is the result of a project whose objective has been to develop and deploy a dashboard for sentiment analysis of football in Twitter based on web components and D3.js. To do so, a visualisation server has been developed in order to present the data obtained from Twitter and analysed with Senpy. This visualisation server has been developed with Polymer web components and D3.js. Data mining has been done with a pipeline between Twitter, Senpy and ElasticSearch. Luigi have been used in this process because helps building complex pipelines of batch jobs, so it has analysed all tweets and stored them in ElasticSearch. To continue, D3.js has been used to create interactive widgets that make data easily accessible, this widgets will allow the user to interact with them and �filter the most interesting data for him. Polymer web components have been used to make this dashboard according to Google's material design and be able to show dynamic data in widgets. As a result, this project will allow an extensive analysis of the social network, pointing out the influence of players and teams and the emotions and sentiments that emerge in a lapse of time.

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Postprint

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The HIV Reverse Transcriptase and Protease Sequence Database is an on-line relational database that catalogs evolutionary and drug-related sequence variation in the human immunodeficiency virus (HIV) reverse transcriptase (RT) and protease enzymes, the molecular targets of anti-HIV therapy (http://hivdb.stanford.edu). The database contains a compilation of nearly all published HIV RT and protease sequences, including submissions from International Collaboration databases and sequences published in journal articles. Sequences are linked to data about the source of the sequence sample and the antiretroviral drug treatment history of the individual from whom the isolate was obtained. During the past year 3500 sequences have been added and the data model has been expanded to include drug susceptibility data on sequenced isolates. Database content has also been integrated with didactic text and the output of two sequence analysis programs.

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Cystinuria is an autosomal recessive amino-aciduria where three urinary phenotypes have been described (I, II, and III). An amino acid transporter gene, SLC3A1 (formerly rBAT), was found to be responsible for this disorder. To assess whether mutations in SLC3A1 are involved in different cystinuria phenotypes, linkage with this gene and its nearest marker (D2S119) was analyzed in 22 families with type I and/or type III cystinuria. Linkage with heterogeneity was proved (alpha = 0.45; P < 0.008). Type I/I families showed homogeneous linkage to SLC3A1 (Zmax > 3.0 at theta = 0.00; alpha = 1), whereas types I/III and III/III were not linked. Our data suggest that type I cystinuria is due to mutations in the SLC3A1 gene, whereas another locus is responsible for type III. This result establishes genetic heterogeneity for cystinuria, classically considered as a multiallelic monogenic disease.

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Business Intelligence (BI) applications have been gradually ported to the Web in search of a global platform for the consumption and publication of data and services. On the Internet, apart from techniques for data/knowledge management, BI Web applications need interfaces with a high level of interoperability (similar to the traditional desktop interfaces) for the visualisation of data/knowledge. In some cases, this has been provided by Rich Internet Applications (RIA). The development of these BI RIAs is a process traditionally performed manually and, given the complexity of the final application, it is a process which might be prone to errors. The application of model-driven engineering techniques can reduce the cost of development and maintenance (in terms of time and resources) of these applications, as they demonstrated by other types of Web applications. In the light of these issues, the paper introduces the Sm4RIA-B methodology, i.e., a model-driven methodology for the development of RIA as BI Web applications. In order to overcome the limitations of RIA regarding knowledge management from the Web, this paper also presents a new RIA platform for BI, called RI@BI, which extends the functionalities of traditional RIAs by means of Semantic Web technologies and B2B techniques. Finally, we evaluate the whole approach on a case study—the development of a social network site for an enterprise project manager.

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Este artículo presenta la aplicación y resultados obtenidos de la investigación en técnicas de procesamiento de lenguaje natural y tecnología semántica en Brand Rain y Anpro21. Se exponen todos los proyectos relacionados con las temáticas antes mencionadas y se presenta la aplicación y ventajas de la transferencia de la investigación y nuevas tecnologías desarrolladas a la herramienta de monitorización y cálculo de reputación Brand Rain.

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Los actuales sistemas de Reconocimiento de Entidades en el dominio farmacológico, necesarios como apoyo para el personal sanitario en el proceso de prescripción de un tratamiento farmacológico, sufren limitaciones relacionadas con la falta de cobertura de las bases de datos oficiales. Parece por tanto necesario analizar la fiabilidad de los recursos actuales existentes, tanto en la Web Semántica como en la Web 2.0, y determinar si es o no viable utilizar dichos recursos como fuentes de información complementarias que permitan generar y/o enriquecer lexicones empleados por sistemas de Reconocimiento de Entidades. Por ello, en este trabajo se analizan las principales fuentes de información relativas al dominio farmacológico disponibles en Internet. Este análisis permite concluir que existe información fiable y que dicha información permitiría enriquecer los lexicones existentes con sinónimos y otras variaciones léxicas o incluso con información histórica no recogida ni mantenida en las bases de datos oficiales.

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Cybercrime and related malicious activity in our increasingly digital world has become more prevalent and sophisticated, evading traditional security mechanisms. Digital forensics has been proposed to help investigate, understand and eventually mitigate such attacks. The practice of digital forensics, however, is still fraught with various challenges. Some of the most prominent of these challenges include the increasing amounts of data and the diversity of digital evidence sources appearing in digital investigations. Mobile devices and cloud infrastructures are an interesting specimen, as they inherently exhibit these challenging circumstances and are becoming more prevalent in digital investigations today. Additionally they embody further characteristics such as large volumes of data from multiple sources, dynamic sharing of resources, limited individual device capabilities and the presence of sensitive data. These combined set of circumstances make digital investigations in mobile and cloud environments particularly challenging. This is not aided by the fact that digital forensics today still involves manual, time consuming tasks within the processes of identifying evidence, performing evidence acquisition and correlating multiple diverse sources of evidence in the analysis phase. Furthermore, industry standard tools developed are largely evidence-oriented, have limited support for evidence integration and only automate certain precursory tasks, such as indexing and text searching. In this study, efficiency, in the form of reducing the time and human labour effort expended, is sought after in digital investigations in highly networked environments through the automation of certain activities in the digital forensic process. To this end requirements are outlined and an architecture designed for an automated system that performs digital forensics in highly networked mobile and cloud environments. Part of the remote evidence acquisition activity of this architecture is built and tested on several mobile devices in terms of speed and reliability. A method for integrating multiple diverse evidence sources in an automated manner, supporting correlation and automated reasoning is developed and tested. Finally the proposed architecture is reviewed and enhancements proposed in order to further automate the architecture by introducing decentralization particularly within the storage and processing functionality. This decentralization also improves machine to machine communication supporting several digital investigation processes enabled by the architecture through harnessing the properties of various peer-to-peer overlays. Remote evidence acquisition helps to improve the efficiency (time and effort involved) in digital investigations by removing the need for proximity to the evidence. Experiments show that a single TCP connection client-server paradigm does not offer the required scalability and reliability for remote evidence acquisition and that a multi-TCP connection paradigm is required. The automated integration, correlation and reasoning on multiple diverse evidence sources demonstrated in the experiments improves speed and reduces the human effort needed in the analysis phase by removing the need for time-consuming manual correlation. Finally, informed by published scientific literature, the proposed enhancements for further decentralizing the Live Evidence Information Aggregator (LEIA) architecture offer a platform for increased machine-to-machine communication thereby enabling automation and reducing the need for manual human intervention.

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Thesis (Master's)--University of Washington, 2016-06