21 research outputs found
Aplicando los principios de Linked Data en AEMET
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
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
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
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)