An Electronic Learning Management System for Higher Education Institutions: Leveraging Visual Semantic Web Ontology

Victoria Nkemjika Emmanuel, Emmanuel Okon Etim and Victor Chibunna Enyinnaya
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Victoria Nkemjika Emmanuel: University of Agriculture and Environmental Science/Computer Science, Owerri, 460103, Nigeria
Emmanuel Okon Etim: Abia State Polytechnic, Aba/Computer Science, Aba, 450101, Nigeria
Victor Chibunna Enyinnaya: Abia State College of Health Sciences and Management Technology, Aba

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 7, 1360-1368

Abstract: While e-learning platforms are essential in modern education, they often struggle with effectively managing expanding content and providing relevant search results for learners. The aim of this work is to develop an electronic learning management system for higher education institution: leveraging visual semantic web ontology-based system. These limitations include the inability to efficiently manage the ever-growing volume of e-learning content, meet learners’ specific search needs, represent knowledge in an accessible format, and facilitate the reuse of e-learning objects. The system provides a standardized interface for learners, educators, and institutional managers to submit and access educational resources. It features an ontology repository to maintain customization information and resource taxonomy, integrating knowledge from various ontologies for enhanced e-learning management. An intelligent search engine enables semantic searches and filters results based on user preferences. Implemented using PHP, MySQL, and JavaScript, the system leverages Object-Oriented Analysis and Design Methodology (OOADM) and Unified Modeling Language (UML) for design, ensuring modularity, maintainability, and reuse. Testing showed the system accurately returned desired search results 95% of the time. The results that were obtained provides efficient ways of managing the growing volume of e-learning content, delivering search results that align with the specific needs of learners, presenting knowledge in a format that is easy to understand and enabling the reuse of e-learning objects.

Date: 2025
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