An approach to publish statistics from open-access journals using linked data technologies
Abstract:
Semantic Web encourages digital libraries which include open access journals, to collect, link and share their data across the web in order to ease its processing by machines and humans to get better queries and results. Linked Data technologies enable connecting structured data across the web using the principles and recommendations set out by Tim Berners-Lee in 2006. Several universities develop knowledge, through scholarship and research, under open access policies and use several ways to disseminate information. Open access journals collect, preserve and publish scientific information in digital form using a peer review process. The evaluation of the usage of this kind of publications needs to be expressed in statistics and linked to external resources to give better information about the resources and their relationships. The statistics expressed in a data mart facilitate queries about the history of …
Año de publicación:
2015
Keywords:
Fuente:
Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Web Semántica
- Ciencias de la computación
- Comunicación
Áreas temáticas:
- Funcionamiento de bibliotecas y archivos
- Métodos informáticos especiales
- Biblioteconomía y Documentación informatica