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Using the SPAR Ontology Network to Represent the Scientific Production of a University: A Case Study

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New Knowledge in Information Systems and Technologies (WorldCIST'19 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 932))

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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.

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Notes

  1. 1.

    https://en.oxforddictionaries.com/definition/university.

  2. 2.

    https://doi.org/10.5281/zenodo.2536258.

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Acknowledgment

The first author of this article is very grateful to the members of the Ontology Engineering Group (OEG) of the Universidad Politécnica de Madrid who gave her the opportunity to be part of their group. Likewise, a special thanks to the Universidad de Guayaquil who financed her stay within the OEG group.

Funding

This work was partially supported by DATOS 4.0: RETOS Y SOLUCIONES – UPM Spanish national project (TIN2016-78011-C4-4-R).

Author information

Authors and Affiliations

  1. Universidad de Guayaquil, Guayaquil, Ecuador

    Mariela Tapia-Leon

  2. Universidad Técnica Particular de Loja, Loja, Ecuador

    Janneth Chicaiza Espinosa

  3. Universidad Politécnica de Madrid, Madrid, Spain

    Paola Espinoza Arias, Idafen Santana-Perez & Oscar Corcho

Authors
  1. Mariela Tapia-Leon
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  2. Janneth Chicaiza Espinosa
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  3. Paola Espinoza Arias
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  4. Idafen Santana-Perez
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  5. Oscar Corcho
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Corresponding author

Correspondence to Mariela Tapia-Leon .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Faculdade de Engenharia/LIACC, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Tapia-Leon, M., Chicaiza Espinosa, J., Espinoza Arias, P., Santana-Perez, I., Corcho, O. (2019). Using the SPAR Ontology Network to Represent the Scientific Production of a University: A Case Study. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 932. Springer, Cham. https://doi.org/10.1007/978-3-030-16187-3_20

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