Ontology-driven Open Data Enrichment Framework for Value Optimisation: The Case of National Performance Indicators for Botswana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a design artefact, Ontology-driven Open Data Enrichment Framework, as a preliminary deliverable of a research that proposes a semantic framework of Open Data (OD) on National Performance Indicators (NPIs) within the context of the National Integrated Indicator Framework for Botswana. The proposed framework addresses the problem of lower impact of OD resulting from heterogeneities that pertain to data platforms, standards, access modes, models, formats, and definitions. The framework maps a transition from static and disintegrated OD on NPIs to Intelligent Linked Open Data (ILOD) for value optimisation. This ongoing research follows the design science research methodology and the paper presents the output of the first three phases of the methodology. This deliverable will be finalised once the implementation and evaluation phases are complete. The finalised framework will serve as a blueprint in the conversion of desperate and static OD on NPIs to interlinked and intelligent content. It is expected to yield significant academic, social and business benefits. Though the framework is aligned to Botswana, it can be customised to suit the needs of other developing countries.

Original languageEnglish
Title of host publication2019 IST-Africa Week Conference, IST-Africa 2019
EditorsPaul Cunningham, Miriam Cunningham
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781905824632
DOIs
Publication statusPublished - May 2019
Event2019 IST-Africa Week Conference, IST-Africa 2019 - Nairobi, Kenya
Duration: May 8 2019May 10 2019

Publication series

Name2019 IST-Africa Week Conference, IST-Africa 2019

Conference

Conference2019 IST-Africa Week Conference, IST-Africa 2019
CountryKenya
CityNairobi
Period5/8/195/10/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Education
  • Computer Networks and Communications

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    Sebubi, O., Zlotnikova, I., & Hlomani, H. (2019). Ontology-driven Open Data Enrichment Framework for Value Optimisation: The Case of National Performance Indicators for Botswana. In P. Cunningham, & M. Cunningham (Eds.), 2019 IST-Africa Week Conference, IST-Africa 2019 [8764881] (2019 IST-Africa Week Conference, IST-Africa 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ISTAFRICA.2019.8764881