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Ontology-Driven Semantic Enrichment Framework for Open Data Value Creation Cover

Ontology-Driven Semantic Enrichment Framework for Open Data Value Creation

Open Access
|Oct 2023

Figures & Tables

Table 1

The summary of OD semantic use and publication needs.

SEMANTIC VALUE CREATION NEEDSODSE FRAMEWORKMODELLING NEEDSODSE FRAMEWORKMODELLING MEASURESODSE FRAMEWORKFUNCTIONALITY DESIGN
Use Need
OD support need for the Botswana Vision AgendaThe modelling need to support the generation of knowledge resources for the implementation of the Vision Agenda aspirations (knowledge-driven economy and knowledge-based society)Modelling measures to leverage OD for the generation of knowledge resources for the implementation of the Vision agenda aspirationsFunctionality design incorporating semantic enrichment, pre-processing, processing, and post-processing for the creation, structuring, and sharing of knowledge resources
Publication Needs
OD program needThe modelling need to support the generation of rich semantic formats for reusability of the current OD publicationsModelling measures to enhance semantic capabilities of flat-text resourcesFunctionality design incorporating ontology-driven semantic enrichment processing
OD presentation needThe modelling need to support the implementation of standardised and unified publication structure and formatModelling measures to create standard and unified structure and formatFunctionality design incorporating a combination of resource reconciliation and RDFisation for semantic enrichment processing
OD representation (ontology) needThe modelling need to support the implementation of the consolidated indicator framework for the four development agendasModelling measures to address the semantic representation and integration need for the four development agendasFunctional design based on custom domain knowledge representation model (ontology) for the semantic integration of the Botswana integrated indicator framework
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Figure 1

The ontology-driven semantic enrichment (ODSE) framework.

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Figure 2

A sample open data access dashboard view (an extract from SDGI 16.9.1) (Statistics Botswana, 2021).

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Figure 3

The conceptual NPIOnto model.

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Figure 4

A sample of the generic knowledge resource (derived from the SDGI 16.9.1 OD extract).

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Figure 5

A sample of the domain knowledge resource (derived from the SDGI 16.9.1 OD extract).

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Figure 6

The semantic usability assessment model based on the Berners-Lee’s five-star deployment scheme for linked data (2010) and modified by adding semantic enrichment effectiveness.

Language: English
Submitted on: May 5, 2023
Accepted on: Oct 6, 2023
Published on: Oct 27, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Oarabile Sebubi, Irina Zlotnikova, Hlomani Hlomani, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.