Evidence map›Paper›PMID 39963356›Full record

ArticleFrontiers in artificial intelligence2025

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

Bilal Abu-Salih, Marwan Al-Tawil, Ansar Khoury, Dana A Al-Qudah, Isra'a Abu Zaid, Marwa Alabdale, Dima Azar

Abstract read
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Article in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bilal Abu-SalihKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.
Marwan Al-TawilKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.
Ansar KhouryKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.
Dana A Al-QudahKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.
Isra'a Abu ZaidKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.
Marwa AlabdaleKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.
Dima AzarKing Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Methods: 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. 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. Results: 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. Discussion: 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.

Indexed as

emerging technologiesknowledge representationmobile app developmentontology designSWRL rules

Identifiers

PMID39963356
PMCPMC11830741

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.