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A Semantic Data Model of Harmonized Survey on Households Living Standards

Authors:
Marc Mfoutou Moukala
Macaire Ngomo
Régis Freguin Babindamana

Keywords: knowledge documentation; semantic data modeling; RDF ontology; Methodological information; Harmonized Survey on Households Living Standards.

Abstract:
Since the year 2018, French-speaking countries in West and Central Africa have adopted an identical methodology for collecting household living conditions data through a survey called Harmonized Survey on Households Living Standards (HSHLS). This survey aims specifically at gathering information on socio-economic conditions of households and communities, enabling public authorities and development partners to identify areas where necessary solutions can be provided. The related questionnaire for this survey, intended to be administered electronically in the form of Computer-Assisted Personal Interview (CAPI) using tablets and telephones, helps reduce errors during data collection because some data consistency checks are managed automatically through the data collection application used, based on a set of prior real-world information. However, during data cleaning works, discrepancies are sometimes observed between the methodology and the actual collected data. Moreover, data processing teams are often forced to manually check methodologic documents for analysis purposes. In this paper, we design a semantic model, which represents the information contained in the methodological documents related to the survey under study. This model, based on an ontology built using Resource Description Framework (RDF) language and its extension, RDF Schema, allows documenting knowledge related to this survey in the form understandable by computers and easily queryable.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-68558-190-9

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024