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ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. Machine Learning and Artificial Intelligence
Volume 8 - 2025 |
doi: 10.3389/frai.2025.1508225
This article is part of the Research Topic Knowledge Graphs for Artificial Intelligence Applications View all articles
MAD-Onto: An Ontology Design for Mobile App Development
Provisionally accepted- The University of Jordan, Aljubeiha, Jordan
Mobile app development has rapidly evolved into a crucial aspect of modern technology, driving innovation across various industries and transforming user experiences globally. The dynamic nature of mobile technology requires developers to navigate a complex landscape of platforms, devices, and user requirements. Effective management and sharing of knowledge are essential to address these challenges, ensuring streamlined development processes and enhanced collaboration among stakeholders. To this end, ontologies have emerged as powerful tools for structuring and standardizing domain-specific knowledge. This paper introduces MAD-onto, a comprehensive ontology designed specifically for the mobile app development domain. MAD-onto aims to enhance knowledge representation, sharing, and management among developers, stakeholders, and researchers. The ontology is constructed by identifying key concepts, defining classes and their hierarchies, establishing class properties, and creating instances relevant to mobile app development. To ensure robustness, the ontology is evaluated using a multi-criteria evaluation metric, focusing on consistency, completeness, conciseness, expandability, and sensitiveness. Additionally, SWRL rules are applied to validate and enforce logical constraints within the ontology. Through these rigorous evaluation methods, MAD-onto demonstrates its utility in providing a structured framework for the mobile app development lifecycle, facilitating better decision-making, collaboration, and efficiency. The findings highlight the significance of ontology-driven approaches in addressing the complexities of mobile app development and set a foundation for future research and advancements in this field.
Keywords: Mobile app development, Ontology design, Knowledge representation, SWRL rules, Emerging Technologies
Received: 09 Oct 2024; Accepted: 21 Jan 2025.
Copyright: © 2025 Abu-Salih, Khoury, Al-Qudah, Abu Zaid, Alabdale and Azar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Bilal Abu-Salih, The University of Jordan, Aljubeiha, Jordan
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