DW2RDF4SDG – Ontology modeling from multi-dimensional cubes for Sustainable Development Goals

  • Flavia Serra Universidad de la República
  • Tatiana Delgado Universidad Tecnológica de La Habana
Keywords: Sustainable Development Goals, multidimensional model, data warehouse, ontology, water.

Abstract

Multidimensional models and their measures regarding different dimensions are powerful instruments for decision makers. An ontology, in its basic expression as RDF, represents the reality from relationships between classes, and it is the base for linked data of the semantic Web. This work provides a basic methodology to obtain an ontology RDF from a multidimensional model of a data warehouse, capable to be aligned to other ontology of the Sustainable Developments Goals. Specifically, an approaching of alignment with the Sustainable Development Goals Interface Ontology [SDGIO] emerging by the United Nations Environmental Program [UNEP] is included. This methodology labeled as DW2RDF4SDG is instrumented for the SDG 6, aimed to ensure availability and sustainable management of water and sanitation for all.

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Author Biographies

Flavia Serra, Universidad de la República

Engineer, Master in Computer Science a Ph.D student, also in Computer Science. She is an assistant professor at the Instituto de Ciencias de la Computación from Universidad de la República (Uruguay). Since 2004 she has participated in research projects and teaching activities in this department. Its main topics of interest are: data warehouses, geographic information systems, data quality and contexts 

 

Tatiana Delgado, Universidad Tecnológica de La Habana

 Engineer in Automated Systems in Management from former Instituto Politécnico José Antonio Echevarría (La Habana, Cuba). She holds a Master degree in Optimization and Decision Making, and a Ph.D., in Technical Sciences. She is a Full Professor at the Business Information Department of the Universidad Tecnológica de La Habana and Vice President of the Union de Informáticos de Cuba. Her areas of interest are spatial data infrastructures, big data, ontologies, smart cities and IT Governance 

 

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Published
2018-02-23
Section
Original Research