M
María Hallo
Researcher at National Technical University
Publications - 27
Citations - 129
María Hallo is an academic researcher from National Technical University. The author has contributed to research in topics: Linked data & Semantic Web. The author has an hindex of 5, co-authored 24 publications receiving 112 citations.
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Current state of Linked Data in digital libraries
TL;DR: A study about the current uses of Linked Data in digital libraries, including the most important implementations around the world, is presented, outlining the best practices found in each experience and identifying gaps and future trends.
Transforming library catalogs into linked data.
TL;DR: In this paper, the Prometeo project was partially supported by SENESCYT, Ecuadorian Government, by CEDIA (Consorcio Ecuatoriano para el Desarrollo de Internet Avanzado) supporting the project: “Platform for publishing library bibliographic resources using Linked Data technologies.
Journal ArticleDOI
Evaluating open access journals using Semantic Web technologies and scorecards
TL;DR: The proposed process was applied to a university OAJ, including the definition of the KPIs (Key Performance Indicators) linked to the institutional strategies, the extraction, cleaning and loading of data from the data sources into a data mart, the transformation of data into RDF (Resource Description Framework), and the publication of data by means of a SPARQL endpoint using the Virtuoso software.
Proceedings ArticleDOI
Publishing a scorecard for evaluating the use of open-access journals using linked data technologies
TL;DR: This paper describes a process to develop and publish a scorecard on the semantic web based on the ISO 2789:2013 standard using Linked Data technologies in such a way that it can be linked to related datasets across the web.
Las tecnologías de Linked Data y sus aplicaciones en el gobierno electrónico
Abstract: Los movimientos de acceso abierto impulsan a los organismos principalmente estatales a publicar sus datos lo mas pronto posible. Las tecnologias de Linked Data ayudan en esta direccion. En este articulo se presentan conceptos y herramientas que pueden ser utiles para implementar proyectos de Linked Data, asi como tambien algunas aplicaciones al gobierno electronico. Nuestro objetivo es proporcionar una vision general de esta nueva area y su potencial uso, particularmente en el ambito del gobierno electronico. Para una implementacion a gran escala es necesario desarrollar metodologias para generar y publicar Linked Data en la Web, desarrollar algoritmos para interconectar datos automaticamente, asegurar la pervivencia de los enlaces, desarrollar estandares para registrar informacion de las fuentes de datos, asegurar la privacidad, seguridad y preservacion de los datos generados, crear herramientas para facilitar la busqueda y despliegue de Linked Data.