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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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Contributions to the Annotation Process in Augmented Reality
Author: Inmaculada García Pereira Directors: Dr. Pedro Morillo, Dr. Jesús Gimeno
(2022). Thesis -
Visualization of the content of cultural heritage knowledge graphs
Author: Javier Sevilla Peris Directors: Dr. J. Javier Samper Zapater; Dr. Marcos Fernández Marín
(2022). Thesis -
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 -
An efficient hybrid recommender system framework using semantic technology for social networks
J. Javier Samper Zapater; Ali Pazahr; Francisco García Sánchez.
(2020). RevistaRevista Ingenieria UC. No.Year 2020, 27 (1), 6-19
The first group of companies that have a business on online social networks try to design an efficient plan for making more money on this platform. Advertising can be a solution for introducing and promoting the services or products for the clients and it can be led to more sells. There are a second group of companies intended to use advertisements on social networks, many of these annoy the users since they are not fascinating or matched for the clients. The primary target of the current study is to design and present a model of advertising recommender systems on social networks using innovative techniques. Although there are numerous applications and research works about recommender...
The first group of companies that have a business on online social networks try to design an efficient plan for making more money on this platform. Advertising can be a solution for introducing and promoting the services or products for the clients and it can be led to more sells. There are a second group of companies intended to use advertisements on social networks, many of these annoy the users since they are not fascinating or matched for the clients. The primary target of the current study is to design and present a model of advertising recommender systems on social networks using innovative techniques. Although there are numerous applications and research works about recommender frameworks, in the proposed model, it is valuable to plan a recommender system which focus more precisely on the user's interests. The framework uses a semantic logic to increase the accuracy of the recommendations along with using a combination of four recommender methods, the particular estimations for each method and the integration of recommendations generated by each method using a rank-based approach which totally can differentiate the proposed recommender framework from the previous similar methods. The accuracy of suggested framework is 0,7498 that was revealed by implementing a web application. The comparison of some similar models with the current work based on various features and aspects shows a significant excellence of this study.
Read more Hide ISSN: 1316-6832, Online ISSN: 2610-8240
