Home // International Journal On Advances in Systems and Measurements, volume 18, numbers 1 and 2, 2025 // View article

Data Integration, Querying and Reasoning over the Harmonized Survey on Households Living Standards Semantic Data Model

Authors:
Marc Mfoutou Moukala
Macaire Ngomo
Régis Freguin Babindamana

Keywords: SPARQL queries; automated reasoning; semantic data model; Resource Description Framework data integration; Semantic Web Rule Language; data consistency control; Harmonized Survey on Households Living Standards

Abstract:
In this paper, we build a Resource Description Framework (RDF)-based semantic data model of the Harmonized Survey on Households Living Standards (HSHLS), and propose an approach for data integration and querying and reasoning over the semantic data model built. We implement data consistency control rules, by combining RDF and Semantic Web Rule Language (SWRL). Based on SWRL rules, we then apply automated reasoning for the survey’s data consistency control. We leverage the power of SPARQL to query information from the survey model and data, using Python programming language.

Pages: 30 to 45

Copyright: Copyright (c) to authors, 2025. Used with permission.

Publication date: June 30, 2025

Published in: journal

ISSN: 1942-261x