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PhyOnto: An Ontology based Framework for Educational Physics Units and Measurements

by Catherine Hii Seng Jing, Bong Chih How
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 29
Year of Publication: 2025
Authors: Catherine Hii Seng Jing, Bong Chih How
10.5120/ijca2025925499

Catherine Hii Seng Jing, Bong Chih How . PhyOnto: An Ontology based Framework for Educational Physics Units and Measurements. International Journal of Computer Applications. 187, 29 ( Aug 2025), 31-40. DOI=10.5120/ijca2025925499

@article{ 10.5120/ijca2025925499,
author = { Catherine Hii Seng Jing, Bong Chih How },
title = { PhyOnto: An Ontology based Framework for Educational Physics Units and Measurements },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2025 },
volume = { 187 },
number = { 29 },
month = { Aug },
year = { 2025 },
issn = { 0975-8887 },
pages = { 31-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number29/phyonto-an-ontology-based-framework-for-educational-physics-units-and-measurements/ },
doi = { 10.5120/ijca2025925499 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-08-20T21:35:10.079393+05:30
%A Catherine Hii Seng Jing
%A Bong Chih How
%T PhyOnto: An Ontology based Framework for Educational Physics Units and Measurements
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 29
%P 31-40
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The study of physics plays a fundamental role in understanding the natural world and its complex phenomena. To support accurate representation and computation of physics knowledge, digital ontologies have been developed. This paper presents a comprehensive physics ontology, PhyOnto, which captures domain knowledge related to units and measurement tools – critical elements in physics education and calculation. The ontology is constructed using the Web Ontology Language (OWL) within Protégé, following the “101 method” for ontology development. A series of rigorous evaluations, including taxonomy assessment, competency question validation, and content review, were conducted to establish its reliability and completeness. PhyOnto demonstrates strong potential in supporting physics education and question-answering systems by enabling structured knowledge representation for calculation-based reasoning.

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Index Terms

Computer Science
Information Sciences

Keywords

Ontology physics education calculation

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