OntoDemer: An Ontology for Identifying Disease Risks Based on Wheelchair User Behavior

• João Gilberto da Silva Hoffmann UNISINOS
• Jacinta Sidegum Renner Feevale
• Rodrigo Real Freedom Veículos Elétricos Ltda
• Jorge Luis Victória Barbosa UNISINOS

DOI: https://doi.org/10.5753/sbcas.2025.6964

Abstract

The global increase in disabilities highlights the need to manage health behaviors, especially for wheelchair users, who face unique challenges. Advances in Human-Computer Interaction (HCI), particularly in health monitoring, are effective tools for improving self-care. This article presents OntoDemer, an ontology designed to identify behaviors and risk factors in wheelchair users, serving as a foundation for disease prevention. The study identifies a lack of specific ontologies in this area. The entities, metrics, and relationships of OntoDemer demonstrated its ability to detect health risks. Evaluations using competency questions confirmed its usefulness, supporting preventive recommendations.

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