Architecture and Pipeline for Automating ELLAS Network Knowledge Network Governance

Authors

DOI:

https://doi.org/10.26439/interfases2023.n018.6623

Keywords:

knowledge graph architecture, pipeline

Abstract

In this article, a proposed architecture for integrating knowledge graphs and a pipeline that automates the transformation of spreadsheet data into RDF triple knowledge graphs for the open data platform of the ELLAS research network is described. The main goal of the ELLAS research network project is to generate comparable data on gender gaps in STEM in Latin America, and since the data comes from various sources and formats, semantic web will be used to add meaning to the data. The architecture and pipeline proposal is to perform Extract, Transform, and Load (ETL) activities for data storage and availability to end users.

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References

Branisa, B., Cabero, P., & Guzman, I. (2021). The main factors explaining IT Career Choices of Female Students in Bolivia. AMCIS 2021 Proceedings.

De Araújo, M. T., & Tonini, A. M. (2020). A PARTICIPAÇÃO DAS MULHERES NAS ÁREAS DE STEM (SCIENCE, TECHNOLOGY ENGINEERING AND MATHEMATICS). Revista de Ensino de Engenharia, 38(3). http://revista.educacao.ws/revista/index.php/abenge/article/view/1693/905

Graphdb Ontotext. (2023). What is GraphDB? https://graphdb.ontotext.com/documentation/

Guzman, I., Berardi, R., Maciel, C., Cabero Tapia, P., Marin-Raventos, G., Rodriguez, N., & Rodriguez, M. (2020). Gender Gap in IT in Latin America. AMCIS 2020 Proceedings.

Hyvönen, E. (2020). Linked Open Data Infrastructure for Digital Humanities in Finland. CEUR Workshop Proceedings. http://urn.fi/URN:NBN:fi:aalto-202101251587

W3C. (2023a). Resource Description Framework (RDF). https://www.w3.org/RDF/

W3C. (2023b). Web Semântica. https://www.w3.org/standards/semanticweb/

Published

2023-12-29

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How to Cite

Fritoli, R., & Berardi, R. C. G. (2023). Architecture and Pipeline for Automating ELLAS Network Knowledge Network Governance. Interfases, 018, 113-122. https://doi.org/10.26439/interfases2023.n018.6623