Dr Temitayo Matthew Fagbola Temitayo-Matthew.Fagbola@hull.ac.uk
Teaching Fellow
Dr Temitayo Matthew Fagbola Temitayo-Matthew.Fagbola@hull.ac.uk
Teaching Fellow
Surendra Colin Thakur
Oludayo Olugbara
The sudden rise in rural-to-urban migration has been a key challenge threatening food security and most especially the survival of Rabbit Farming and Production (RFP) in Sub-Saharan Africa. Currently, significant knowledge of RFP is going into extinction as evident by the drastic fall in commercial rabbit farming and production indices. Hence, the need for a system to proactively preserve RFP knowledge for future potential farmers cannot be overemphasized. To this end, knowledge archiving and management are key concepts of ensuring long-term digital storage of conceptual blueprints and specifications of systems, methods and frameworks with capacity for future updates while making such information readily accessible to relevant stakeholders on demand. Therefore, a reproducible Rabbit production' Knowledge Archiving and Management System (Rab-KAMS) is developed in this paper. A 3-staged approach was adopted to develop the Rab-KAMS. This include a knowledge gathering and conceptualization stage; a knowledge revision stage to validate the authenticity and relevance of the gathered knowledge for its intended purpose and a prototype design stage adopting the use of unified modelling language conceptual workflows, ontology graphs and frame system. For seamless accessibility and ubiquitous purposes, the design was implemented into a mobile application having interactive end-users' interfaces developed using XML and Java in Android 3.0.2 Studio development environment while adopting the V-shaped software development model. The qualitative evaluation results obtained for Rab-KAMS based on users' rating and reviews indicate a high level of acceptability and reliability by the users. It also indicates that relevant RFP knowledge were correctly captured and provided in a user-friendly manner. The developed Rab-KAMS could offer seamless acquisition, representation, organization and mining of new and existing verified knowledge about RFP and in turn contributing to food security.
Fagbola, T. M., Thakur, S. C., & Olugbara, O. (2019). Rab-KAMS: A reproducible knowledge management system with visualization for preserving Rabbit Farming and Production Knowledge. International journal of advanced computer science and applications : IJACSA, 10(1), 263-273. https://doi.org/10.14569/IJACSA.2019.0100135
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2019 |
Deposit Date | Jan 28, 2024 |
Publicly Available Date | Feb 7, 2024 |
Journal | International Journal of Advanced Computer Science and Applications |
Print ISSN | 2158-107X |
Electronic ISSN | 2156-5570 |
Publisher | SAI Organization |
Peer Reviewed | Peer Reviewed |
Volume | 10 |
Issue | 1 |
Pages | 263-273 |
DOI | https://doi.org/10.14569/IJACSA.2019.0100135 |
Keywords | Knowledge_archiving; Knowledge_management; Mobile design; starUML; Protégé-OWL; Rabbit production; Reproducibility; Ubiquitous ontology |
Public URL | https://hull-repository.worktribe.com/output/4161551 |
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This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
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