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Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

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Published on: March 19, 2021

MAD-Onto: an ontology design for mobile app development.

Bilal Abu-Salih¹, Marwan Al-Tawil¹, Ansar Khoury¹

¹King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.

Frontiers in Artificial Intelligence

|February 18, 2025

Summary

This study introduces MAD-onto, a new ontology for mobile app development. It structures knowledge to improve development processes and collaboration in the dynamic mobile technology landscape.

Keywords:

SWRL rules emerging technologies knowledge representation mobile app development ontology design

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Area of Science:

Computer Science
Software Engineering

Background:

Mobile app development is a complex, rapidly evolving field.
Effective knowledge management is crucial for efficient development and collaboration.
Existing approaches may not adequately address the domain-specific complexities.

Purpose of the Study:

To introduce MAD-onto, a comprehensive ontology for the mobile app development domain.
To provide a structured framework for managing and sharing knowledge in mobile app development.
To enhance decision-making, collaboration, and efficiency in the mobile app development lifecycle.

Main Methods:

Ontology construction involving concept identification, class definition, property establishment, and instance creation.
Multi-criteria evaluation of the ontology for consistency, completeness, conciseness, expandability, and sensitiveness.
Application of Semantic Web Rule Language (SWRL) rules for logical constraint validation.

Main Results:

MAD-onto provides a robust, structured framework for mobile app development knowledge.
The ontology demonstrates utility in facilitating better decision-making and collaboration.
Rigorous evaluation confirms the ontology's quality attributes.

Conclusions:

Ontology-driven approaches are significant for addressing mobile app development complexities.
MAD-onto establishes a foundation for future research and advancements in the field.
This structured knowledge representation enhances the overall mobile app development lifecycle.