Title
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.
Year
DOI
Venue
2017
10.1177/0165551515624353
J. Information Science
Keywords
Field
DocType
Knowledge management, linked data, Semantic Web, RDF data cube vocabulary
Data mining,World Wide Web,Semantic Web Stack,Information retrieval,Computer science,Data mart,Semantic Web,Linked data,SPARQL,Simple Knowledge Organization System,Social Semantic Web,RDF
Journal
Volume
Issue
ISSN
43
1
0165-5515
Citations 
PageRank 
References 
0
0.34
15
Authors
3
Name
Order
Citations
PageRank
María Hallo Carrasco1101.40
Sergio Luján-mora242447.92
Alejandro Maté313417.94