Memorias de investigación
Communications at congresses:
Using the SPAR Ontology Network to represent the Scientific Production of a University: A Case Study
Year:2019

Research Areas
  • Information technology and adata processing

Information
Abstract
Research is commonly used to measure the prestige of universities. Currently, many universities register some of their scientific production (such as thesis, articles) in open access repositories using technologies like DSpace or ePrints. Likewise, scientific production is available in different and overlapping databases such as Scopus, Web of Science, Google Scholar, Crossref. Connecting these datasets, with the application of ontologies, will potentially increase their value and help discover interesting relationships amongst them. The present study aims to use the SPAR Ontology Network, which allows representing scholarly publishing, in order to check whether it is possible to represent the scientific production of universities. For that, we propose competency questions with the purpose of measuring scientific production. Likewise, we obtained data from Scopus regarding an Ecuadorian university (University of Guayaquil) and transformed it to RDF using the SPAR Ontology Network and other well-known ontologies to build it semantically. We used SPARQL queries to answer the competency questions. We concluded that the SPAR Ontology Network is a wide-ranging solution for scholarly publishing. Nevertheless, it is necessary to build an extension to one of their ontologies to provide a complete representation of a university?s scientific production.
International
Si
Congress
The 7th World Conference on Information Systems and Technologies (WorldCIST 19)
960
Place
La Toja, España
Reviewers
Si
ISBN/ISSN
978-3-030-16187-3
10.1007/978-3-030-16187-3_20
Start Date
16/04/2019
End Date
19/04/2019
From page
206
To page
215
New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 932 ,Springer, Cham
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial