Version 1
: Received: 25 September 2023 / Approved: 25 September 2023 / Online: 26 September 2023 (10:16:02 CEST)
How to cite:
Kero, A.; Demissie, D.; Tune, K. Developing an Ontology for Public Policy Problems in Ethiopia: A Comprehensive Review, Evaluation, And Future Directions. Preprints2023, 2023091780. https://doi.org/10.20944/preprints202309.1780.v1
Kero, A.; Demissie, D.; Tune, K. Developing an Ontology for Public Policy Problems in Ethiopia: A Comprehensive Review, Evaluation, And Future Directions. Preprints 2023, 2023091780. https://doi.org/10.20944/preprints202309.1780.v1
Kero, A.; Demissie, D.; Tune, K. Developing an Ontology for Public Policy Problems in Ethiopia: A Comprehensive Review, Evaluation, And Future Directions. Preprints2023, 2023091780. https://doi.org/10.20944/preprints202309.1780.v1
APA Style
Kero, A., Demissie, D., & Tune, K. (2023). Developing an Ontology for Public Policy Problems in Ethiopia: A Comprehensive Review, Evaluation, And Future Directions. Preprints. https://doi.org/10.20944/preprints202309.1780.v1
Chicago/Turabian Style
Kero, A., Dawit Demissie and Kula Tune. 2023 "Developing an Ontology for Public Policy Problems in Ethiopia: A Comprehensive Review, Evaluation, And Future Directions" Preprints. https://doi.org/10.20944/preprints202309.1780.v1
Abstract
This literature review focuses on the development of an ontology for public policy problems in Ethiopia. The study aims to provide a structured representation of concepts, relationships, and knowledge specific to the Ethiopian policy context. The research follows a systematic ontology development process that incorporates domain-specific knowledge and stakeholder involvement.The review begins by describing the steps involved in the ontology development process, including problem identification and scoping, requirement analysis, ontology modeling, and stakeholder involvement. It emphasizes the importance of engaging policymakers, subject matter experts, and researchers throughout the process to validate the ontology and ensure its relevance and effectiveness in addressing Ethiopian policy problems.The application of the developed ontology to specific policy problems is then discussed. Examples include agricultural policy analysis, healthcare policy evaluation, and education policy planning. The review highlights how the ontology can support policy analysis, decision-making, and evaluation by capturing relevant concepts, simulating policy scenarios, and assessing policy impacts.Furthermore, the review identifies potential challenges and limitations in the ontology development process, such as data availability, expert knowledge engagement, and the evolving policy landscape. These challenges need to be addressed to ensure the ontology's accuracy and usability in addressing Ethiopian policy problems.Finally, the review provides suggestions for further research and improvement, such as integrating the ontology with data sources, fostering collaborative ontology development, exploring semantic reasoning and inferencing techniques, and promoting interoperability and standardization. These suggestions aim to enhance the ontology's capabilities and its contribution to the field of ontology development for public policy problems.In conclusion, the development of an ontology for public policy problems in Ethiopia offers a valuable tool for policymakers, researchers, and stakeholders to understand, analyze, and address complex policy challenges. The ontology's relevance and applicability to the Ethiopian context, stakeholder involvement, and support for policy analysis make it a significant contribution to the field of ontology development for public policy.
Keywords
ontology; public policy; Ethiopia; policy analysis; decision-making; stakeholder involvement
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
