This article describes a proposal for an architecture that integrates knowledge graphs and a pipeline that automates the transformation of spreadsheet data into knowledge graphs in RDF triples for the open data platform of the ELLAS research network. The main goal of the ELLAS research network project is to generate comparable data on gender gaps in STEM in Latin America. Since the data comes from various sources and formats for its construction, the semantic web will be used, adding meaning to the data. The proposed architecture and pipeline will perform Extract, Transform, and Load (ETL) activities to store and make the data available to end users.
Authors:
Rodgers Fritoli & Rita Cristina Galarraga Berardi
References (APA):
Fritoli, R., & Berardi, R. C. G. (2023). Arquitectura y pipeline para automatizar el gobierno del grafo de conocimiento de la red ELLAS. Interfases, (018), 113-122. https://doi.org/10.26439/interfases2023.n018.6623