An Adaptable Ontology for Easy and Efficient University Data Management in Niger Delta University
Thompson Iniakpokeikiye, Biralatei Fawei
Asian Journal of Research in Computer Science · pp. 19–27 · Published 3 May 2022
10.9734/ajrcos/2022/v13i330315Abstract
The structure, variety and quantity of some current web content are limited in efficient exploration due to difficulty in searching and locating a specific content. A case is the Niger Delta University where there is no unified online structure holding relevant university data. This is because there is no common data model to manage the data for which such query can easily be interpreted semantically. Therefore, this paper presents the application of semantic web technology for the unification of university data management. This research prepares the ground for the advent of software agents and other applications that require structured data for their computational processes. The ontology development follows an iterative path of the Object-Oriented System Analysis and Design (OOSAD) methodology. SPARQL was used as the query language for testing the ontology. The result is a semantically structured data that is deployable and can be expanded and adapted in other institutions.
Cited by 1
A. Dahiru, Abba Lawan · Dutse Journal of Pure and Applied Sciences · 2023
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