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Operating Systems ontology built for OBT (344 classes, 57 object properties, 10 data properties)

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Description

Because no existing ontology was available for the Operating Systems course, one of the authors hand-built the domain ontology in Protégé over 25 to 30 days; "In terms of size, this OS ontology comprises 57 object properties, 10 data properties, and 344 classes." It models concepts such as 'Computer', 'Hardware', 'OperatingSystem', and 'Interrupt', with TBox axioms (subset and equivalence, e.g., 'MainMemory ≡ PhysicalMemory') and ABox axioms feeding the ITree-to-question transformation.

Design Implications

Context

Requirements

  • Semi-automatic construction in Protégé with DL/SWRL rules added to extend semantics; a naming convention for classes and properties

Constraints

  • Building the ontology took 25 to 30 days of expert effort, illustrating the semantic approach's upfront cost

Target Learners

  • students of the Operating Systems course

Learning Goals

  • Wh-type MCQ stem generation grounded in domain semantics

Claims

  • Hybrid Obt Mbt Mcq Generation Framework [+M]

Examples

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Key Sources

  • Praveen Kumar, A., Nayak, A., Shenoy K., M., Chaitanya, & Ghosh, K. (2024). A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00333-6
Page metadata
Field Value
type design
id os-ontology-obt-knowledge-base
title Operating Systems ontology built for OBT (344 classes, 57 object properties, 10 data properties)
description Because no existing ontology was available for the Operating Systems course, one of the authors hand-built the domain ontology in Protégé over 25 to 30 days; "In terms of size, this OS ontology comprises 57 object pro...
status review
generated by process:settle-candidates on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — praveen-kumar-2024

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