Evaluating open access journals using Semantic Web technologies and scorecards


Abstract:

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, 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 multidimensional data on the Web. The visualization was made using CubeViz, a faceted browser to present the KPIs in interactive charts.

Año de publicación:

2017

Keywords:

  • Linked data
  • semantic web
  • RDF data cube vocabulary
  • KNOWLEDGE MANAGEMENT

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Web Semántica
  • Ciencias de la computación
  • Comunicación

Áreas temáticas:

  • Funcionamiento de bibliotecas y archivos