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Año/Year 2017:

Clave: RV  Ref: JIS'17
María Hallo, Sergio Luján-Mora, Alejandro Mate. Evaluating Open Access Journals using Semantic Web Technologies and Scorecards. Journal of Information Science (JIS), 43(1), p. 3-16. ISSN: 0165-5515. https://doi.org/10.1177/0165551515624353

This paper describes a process to develop and publish a scorecard from an OAJ (Open Access Journal) on the semantic web using Linked Data technologies in such a way that it can be linked to related datasets. Furthermore, methodological guidelines are presented with activities related to each step of the process. The proposed process was applied to a university OAJ from a university, 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. Additionally, the RDF data cube vocabulary has been used to publish the multi-dimensional data on the Web. The visualization was made using CubeViz, a faceted browser to present the KPIs in interactive charts.
  



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