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Ontology-driven semantic enrichment framework for maximal creation of open data value (the case of Botswana national performance indicators)

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dc.contributor.supervisor Zlotnikova, Irina
dc.contributor.supervisor Hlomani, Hlomani
dc.contributor.author Sebubi, Oarabile
dc.date.accessioned 2025-08-25T12:53:09Z
dc.date.available 2025-08-25T12:53:09Z
dc.date.issued 2022-09
dc.identifier.citation Sebubi, O. (2023) Ontology-driven semantic enrichment framework for maximal creation of open data value (the case of Botswana national performance indicators), PhD Theses, Botswana International University of Science and Technology: Palapye en_US
dc.identifier.uri https://repository.biust.ac.bw/handle/123456789/645
dc.description Dissertation (PhD Information Systems )--Botswana International University of Science and Technology, 2023 en_US
dc.description.abstract This research adopts a pragmatic paradigm in addressing the gap of reviewed semantic enrichment frameworks that lack mechanisms to assess the degree of semantic value added1 to flat text resources in terms of knowledge (semantic context) and semantic capabilities (semantic structure). Currently, due to this knowledge gap, it is difficult to drive the semantic value creation process toward specific enrichment output and to evaluate the output as well. This is what this research refers to as, the semantic valuation challenge. To address the semantic valuation challenge, the research proposes the semantic value creation framework with mechanism for semantic valuation, the Ontology-Driven Semantic Enrichment Framework (ODSE Framework). The framework development adapted the Design Science Research Methodology for Information Systems. The framework leverages Linked Data principles in the conversion of flat text resources to knowledge resources2. It further augments this basic semantic value creation process with qualitative semantic valuation models to be applied to the semantic enrichment added layers (syntax and semantic layers) for semantic value assessment, specifically, assessment of the degree of knowledge creation potential and usability effectiveness of a given knowledge resource on the basis of semantic attributes. The semantic valuation models are also to aid semantic enrichment decision making for Open Data3 (OD) publishers and consumers with the need for richer formats on applicable semantic enrichment approach to adopt for specific knowledge resource output target. The demonstration of the framework was conducted to determine the semantic enrichment approach with potential to maximal semantic value-adding potential for more knowledge creation and usability effectiveness. Though the framework demonstration was specific to the Botswana development agenda domain, the final ODSE framework has been redesigned for reusability in any semantic value creation implementation for all types of flat text data transformations to semantic formats. Also, the ODSE Framework implementation support tools are complementary to any semantic enrichment framework implementation in any application domain. en_US
dc.description.sponsorship Botswana International University of Science and Technology (BIUST) en_US
dc.language.iso en en_US
dc.publisher Botswana International University of Science and Technology (BIUST) en_US
dc.subject Semantic Value Creation en_US
dc.subject Semantic Valuation en_US
dc.subject Ontology-Driven Framework (ODSE Framework) en_US
dc.subject Linked Data en_US
dc.subject Knowledge Resources en_US
dc.subject Semantic Valuation Models en_US
dc.subject Open Data (OD) en_US
dc.subject Knowledge Creation Potential en_US
dc.subject Usability Effectiveness en_US
dc.title Ontology-driven semantic enrichment framework for maximal creation of open data value (the case of Botswana national performance indicators) en_US
dc.description.level phd en_US
dc.description.accessibility unrestricted en_US
dc.description.department cis en_US


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