Memorias de investigación
Ponencias en congresos:
Using the SPAR Ontology Network to represent the Scientific Production of a University: A Case Study
Año:2019

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
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.
Internacional
Si
Nombre congreso
The 7th World Conference on Information Systems and Technologies (WorldCIST 19)
Tipo de participación
960
Lugar del congreso
La Toja, España
Revisores
Si
ISBN o ISSN
978-3-030-16187-3
DOI
10.1007/978-3-030-16187-3_20
Fecha inicio congreso
16/04/2019
Fecha fin congreso
19/04/2019
Desde la página
206
Hasta la página
215
Título de las actas
New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 932 ,Springer, Cham

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial