21 research outputs found

    Aplicando los principios de Linked Data en AEMET

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    Presentaci贸n realizada para la Jornada AEMET OpenData "Descubre el poder de los datos abiertos" que se celebr贸 el 13 de diciembre de 2016 en la sede central de AEMET. En esta jornada AEMET present贸 el sistema "AEMET OpenData", que permite la difusi贸n y la reutilizaci贸n de la informaci贸n meteorol贸gica y climatol贸gica de la Agencia

    The Research Object Suite of Ontologies: Sharing and Exchanging Research Data and Methods on the Open Web

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    Research in life sciences is increasingly being conducted in a digital and online environment. In particular, life scientists have been pioneers in embracing new computational tools to conduct their investigations. To support the sharing of digital objects produced during such research investigations, we have witnessed in the last few years the emergence of specialized repositories, e.g., DataVerse and FigShare. Such repositories provide users with the means to share and publish datasets that were used or generated in research investigations. While these repositories have proven their usefulness, interpreting and reusing evidence for most research results is a challenging task. Additional contextual descriptions are needed to understand how those results were generated and/or the circumstances under which they were concluded. Because of this, scientists are calling for models that go beyond the publication of datasets to systematically capture the life cycle of scientific investigations and provide a single entry point to access the information about the hypothesis investigated, the datasets used, the experiments carried out, the results of the experiments, the people involved in the research, etc. In this paper we present the Research Object (RO) suite of ontologies, which provide a structured container to encapsulate research data and methods along with essential metadata descriptions. Research Objects are portable units that enable the sharing, preservation, interpretation and reuse of research investigation results. The ontologies we present have been designed in the light of requirements that we gathered from life scientists. They have been built upon existing popular vocabularies to facilitate interoperability. Furthermore, we have developed tools to support the creation and sharing of Research Objects, thereby promoting and facilitating their adoption.Comment: 20 page

    A Contribution-based Framework for the Creation of Semantically-enabled Web Applications

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    We present Fortunata, a wiki-based framework designed to simplify the creation of semantically-enabled web applications. This framework facilitates the management and publicationof semantic data in web-based applications, to the extent that application developers do not need to be skilled in client-side technologies, and promotes application reuse by fostering collaboration among developers by means of wiki plugins.Weillustrate the use of this framework with two Fortunata-based applications named OMEMO and VPOET, and we evaluate it with two experiments performed with usability evaluators and application developers respectively. These experiments show a good balance between the usability of the applications created with this framework and the effort and skills required by developers

    Transforming Meteorological Data into Linked Data

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    We describe the AEMET meteorological dataset, which makes available some data sources from the Agencia Estatal de Meteorolog铆a (AEMET, Spanish Meteorological Office) as Linked Data. The data selected for publication are generated every ten minutes by approximately 250 automatic weather stations deployed across Spain and made available as CSV files in the AEMET FTP server. These files are retrieved from the server, processed with Python scripts, transformed to RDF according to an ontology network (which reuses the W3C SSN Ontology), published in a triple store and visualized using Map4RDF.This work has been supported by the Spanish project myBigData (TIN2010-17060)
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