New Research Article: “Evaluating Open Access Journals Using Semantic Web Technologies and Scorecards”

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Title
Evaluating Open Access Journals Using Semantic Web Technologies and Scorecards
Authors
Maria Hallo
National Polytechnic School, Ecuador
Sergio Lujan-Mora
University of Alicante, Spain
Alejandro Mate
University of Alicante, Spain
Source
Journal of Information Science
First published online, January 13, 2016
SAGE Online First (Ahead of Print)
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.

Direct to Full Text Article (14 pages; PDF)

Filed under: Data Files, Journal Articles, News, Open Access