Search result183 results
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VAS. A Semantic Model for Earth Observation data
Samper-Zapater, J. Javier, Juan J. Martinez-Dura, Javier Martinez-Plume, David García Rodríguez, Julian Gutiérrez Moret, y Ernesto López Baeza
(2025). Participació en congressosProceedings of the 12th Euro-American Conference on Telematics and Information Systems, EATIS 2024. Association for Computing Machinery, Inc.
DOI: https://doi.org/10.1145/3685243.3685295 -
Comparative analysis of different algorithms for VAS station land cover classification with limited training points
García-Rodríguez, Pérez-Hoyos, Martínez, Pablo Catret Ruber, Javier Samper-Zapater, López-Baeza, y Martínez Durá
(2025). ArticleInternational Journal of Applied Earth Observation and Geoinformation. No.139
DOI: https://doi.org/10.1016/J.JAG.2025.104537 -
Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods
Garcia-Rodriguez, David, Pablo Catret Ruber, Domingo J. Iglesias Fuente, Juan José Martínez Durá, Ernesto López Baeza, y Antonio Garcia Celda.
(2024). ArticleEcological Informatics. No. 81
DOI: https://doi.org/10.1016/J.ECOINF.2024.102638 -
Semantic Modelling Approach for Safety-Related Traffic Information Using DATEX II
J. Javier Samper Zapater; Julián Gutiérrez Moret; Jose Macario Rocha; Juan José Martinez-Durá; Vicente R. Tomás
(2023). RevistaInformation. No.2024, 15(1), 3
The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data platforms from various countries and sectors, such as transport, geospatial, environmental, weather, and more. Businesses, researchers, national operators, administrators, and citizens at large can benefit from having dynamic traffic open data connected to heterogeneous datasets across Member States. This paper focuses on the development of a semantic model that enhances the basic service to access open traffic data through a LOD-enhanced...
The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data platforms from various countries and sectors, such as transport, geospatial, environmental, weather, and more. Businesses, researchers, national operators, administrators, and citizens at large can benefit from having dynamic traffic open data connected to heterogeneous datasets across Member States. This paper focuses on the development of a semantic model that enhances the basic service to access open traffic data through a LOD-enhanced Traffic Information System in alignment with the ITS Directive (2010/40/EU). The objective is not limited to just viewing or downloading data but also to improve the extraction of meaningful information and enable other types of services that are only achievable through LOD. By structuring the information using the RDF format meant for machines and employing SPARQL for querying, LOD allows for comprehensive and unified access to all datasets. Considering that the European standard DATEX II is widely used in many priority areas and services mentioned in the ITS Directive, LOD DATEX II was developed as a complementary approach to DATEX II XML. This facilitates the accessibility and comprehensibility of European traffic data and services. As part of this development, an ontological model called dtx_srti, based on the DATEX II Ontology, was created to support these efforts.
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Where are we headed on January 28th?
Ricard Martínez Martínez
(2021). ArticleLa Ley Privacidad. No.7
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Tecnología de verificación de identidad y control en exámenes online
Ricard Martínez Martínez
(2020). ArticleRevista de Educación y Derecho. Education and Law Review. No.Year 2020, Num. 22
Facial recognition technologies for identity verification and control of access to the virtual space for the development of exams have a direct impact on student rights. Their implementation and use implies a processing of biometric data that is particularly demanding in terms of regulatory compliance with the General Data Protection Regulation. In both cases, it is necessary to ensure due balance between the rights of the student and the guarantee of the right of the university institution to articulate processes of verification of knowledge that prevent fraud.
DOI: https://doi.org/10.1344/REYD2020.22.32357 -
Apps coronavirus y desconfianza ciudadana
Ricard Martínez Martínez
(2020). ArticleGiven the upturn in the pandemic and the limitations of the traditional tracing method, which can be effective in cases of contagion linked to family, work or school contexts, but not in situations of "festive" contacts, the author analyses, in summary, the position of privacy experts and makes some recommendations, such as the urgent revision of sectoral legislation or the need for data protection authorities to team up with the health system and contribute to achieving viable, audited and shared solutions.
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Schrems II. Una breve reflexión desde los derechos fundamentales
Ricard Martínez Martínez
(2020). ArticleLa Ley privacidad. No.5
The CJEU has reaffirmed a clear criterion: the subordination of the Member States to the decisions binding them does not imply a duty of abstention of the data protection authorities in the protection and guarantee of the fundamental right to data protection.
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Salud o privacidad (a propósito de la 'app' para geolocalizar personas con coronavirus): Un falso debate
Ricard Martínez Martínez
(2020). Article -
Privacidad, COVID-19 y ecosistema de I+D+i
Ricard Martínez Martínez
(2020). Article
