A Quantitative Analysis of the Use of Microdata for Semantic Annotations on Educational Resources
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Título: | A Quantitative Analysis of the Use of Microdata for Semantic Annotations on Educational Resources |
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Autor/es: | Navarrete, Rosa | Luján-Mora, Sergio |
Grupo/s de investigación o GITE: | Lucentia |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Semantic web | Microdata | Educational resources | Schema.org | LRMI | Educational resources | Web standards |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | 2018 |
Editor: | Rinton Press |
Cita bibliográfica: | Journal of Web Engineering. 2018, 17(1-2): 45-72 |
Resumen: | A current trend in the semantic web is the use of embedded markup formats aimed to semantically enrich web content by making it more understandable to search engines and other applications. The deployment of Microdata as a markup format has increased thanks to the widespread of a controlled vocabulary provided by Schema.org. Recently, a set of properties from the Learning Resource Metadata Initiative (LRMI) specification, which describes educational resources, was adopted by Schema.org. These properties, in addition to those related to accessibility and the license of resources included in Schema.org, would enable search engines to provide more relevant results in searching for educational resources for all users, including users with disabilities. In order to obtain a reliable evaluation of the use of Microdata properties related to the LRMI specification, accessibility, and the license of resources, this research conducted a quantitative analysis of the deployment of these properties in large-scale web corpora covering two consecutive years. The corpora contain hundreds of millions of web pages. The results further our understanding of this deployment in addition to highlighting the pending issues and challenges concerning the use of such properties. |
URI: | http://hdl.handle.net/10045/73711 |
ISSN: | 1540-9589 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Rinton Press |
Revisión científica: | si |
Versión del editor: | http://www.rintonpress.com/journals/jweonline.html |
Aparece en las colecciones: | INV - ALISoft - Artículos de Revistas INV - LUCENTIA - Artículos de Revistas |
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Archivo | Descripción | Tamaño | Formato | |
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2018_Navarrete_Lujan_JWebEng.pdf | 1,29 MB | Adobe PDF | Abrir Vista previa | |
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