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

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 toolscritical elements in physics education and calculation.The ontology is constructed using the Web Ontology Language (OWL) within Protg, 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 questionanswering systems by enabling structured knowledge representation for calculation-based reasoning.

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Publication Details

Journal
International Journal of Computer Applications
Published
2025-08-20
DOI
https://doi.org/10.5120/ijca2025925499
Primary Topic
Experimental Learning in Engineering
Type
article
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article

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

Chih How Bong, Changfeng Jing
International Journal of Computer Applications
Experimental Learning in Engineering
article

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

Chih How Bong, Changfeng Jing
article en

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 toolscritical elements in physics education and calculation.The ontology is constructed using the Web Ontology Language (OWL) within Protg, 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 questionanswering systems by enabling structured knowledge representation for calculation-based reasoning.

International Journal of Computer ApplicationsVol. 187(29)
Quality Education
Openalex Percentile: Top 68%
Experimental Learning in Engineering
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PhyOnto: An Ontology Based Framework for Educational Physics Units and Measurements — Chih How Bong, Changfeng Jing · International Journal of Computer Applications (2025) | TGRS Research Map | TGRS