Skip to content
Research Article Open access CC BY 4.0

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/v13i330315

Abstract

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.

Database ontology semantic web sparql

References (19)

  1. 1 Ontology Development 101: A Guide to Creating Your First Ontology
  2. 2 Verbs semantics and lexical selection [DOI]
  3. 3 Ontologies and the semantic web [DOI]
  4. 4 Semantic Web in data mining and knowledge discovery: A comprehensive survey [DOI]
  5. 5 The NeOn Methodology framework: A scenario-based methodology for ontology development [DOI]
  6. 6 A fine-grained evaluation of SPARQL endpoint federation systems [DOI]
  7. 7 AI Approaches to the Complexity of Legal Systems [DOI]
  8. 8 An ontology in OWL for legal case-based reasoning [DOI]
  9. 9 Relational database as a source of ontology creation [DOI]
  10. 10 Exposing the cancer genome atlas as a SPARQL endpoint [DOI]
  11. 11 A scheme of criminal law knowledge acquisition using ontology [DOI]
  12. 12 Exploring logical and hierarchical information to map relational databases into ontologies [DOI]
  13. 13 Using Legal Ontologies with Rules for Legal Textual Entailment [DOI]
  14. 14 ViLO — A Core Ontology of Vietnamese Legal Documents [DOI]
  15. 15 Ontological Modeling of a Class of Linked Economic Crimes [DOI]
  16. 16 Semantic Technologies and Triplestores for Business Intelligence [DOI]
  17. 17 Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph [DOI]
  18. 18 Software Engineering Techniques for the Extraction of Ontology of Historical Geographic Information [DOI]
  19. 19 Proceedings of the International Multiconference on Computer Science and Information Technology [DOI]

Cited by 2

Nija-Onto: An ontology of The Nigerian languages version 1

A. Dahiru, Abba Lawan · Dutse Journal of Pure and Applied Sciences · 2023

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

Related research

Article metrics

Real usage data collected on this platform.

12

Page views

0

PDF downloads

1

Outbound clicks

2

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.