A Novel UX-Based Approach for Ontology Evaluation: Applying Tree Testing to the Agricultural Product Types Ontology

This paper introduces a novel approach to evaluating ontologies by integrating user experience (UX) metrics, specifically the Tree Testing protocol, into the validation process. Traditional ontology validation often focuses on verifying competency questions via SPARQL queries, overlooking the critical role of domain specialists in assessing usability and conceptual alignment. To address this gap, we applied Tree Testing to the Agricultural Product Types Ontology (APTO), tracking specialists’ navigation paths as they completed 11 domain-specific tasks. This method provided actionable insights into APTO’s usability, revealing structural weaknesses and areas needing refinement. The study involved experts in ontological modeling within the agricultural domain, ensuring feedback was relevant and domain-specific. The findings underscore the value of UX metrics, such as Tree Testing, in identifying user navigation patterns and conceptual misunderstandings. This research illustrates the importance of integrating UX-driven methodologies into ontology design to foster more user-centered and practical knowledge representations for real-world applications. By bridging the gap between technical validation and user-centered evaluation, this work contributes to developing ontologies that are not only technically sound but also intuitive and aligned with the needs of domain experts.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3595447
Citations
1
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
2.48

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article

A Novel UX-Based Approach for Ontology Evaluation: Applying Tree Testing to the Agricultural Product Types Ontology

Dilvan de Abreu Moreira, Fernando Elias Corrêa, Luís Ferreira Pires, Filipi Miranda Soares et al.
1 citations
IEEE Access
Semantic Web and Ontologies
2.48
article

A Novel UX-Based Approach for Ontology Evaluation: Applying Tree Testing to the Agricultural Product Types Ontology

Dilvan de Abreu Moreira, Fernando Elias Corrêa, Luís Ferreira Pires, Filipi Miranda Soares, Antônio Mauro Saraiva, Kelly Rosa Braghetto, Luiz Olavo Bonino da Silva Santos, Débora Pignatari Drucker, Alexandre C. B. Delbem
article en
1 citations

Abstract

This paper introduces a novel approach to evaluating ontologies by integrating user experience (UX) metrics, specifically the Tree Testing protocol, into the validation process. Traditional ontology validation often focuses on verifying competency questions via SPARQL queries, overlooking the critical role of domain specialists in assessing usability and conceptual alignment. To address this gap, we applied Tree Testing to the Agricultural Product Types Ontology (APTO), tracking specialists’ navigation paths as they completed 11 domain-specific tasks. This method provided actionable insights into APTO’s usability, revealing structural weaknesses and areas needing refinement. The study involved experts in ontological modeling within the agricultural domain, ensuring feedback was relevant and domain-specific. The findings underscore the value of UX metrics, such as Tree Testing, in identifying user navigation patterns and conceptual misunderstandings. This research illustrates the importance of integrating UX-driven methodologies into ontology design to foster more user-centered and practical knowledge representations for real-world applications. By bridging the gap between technical validation and user-centered evaluation, this work contributes to developing ontologies that are not only technically sound but also intuitive and aligned with the needs of domain experts.

IEEE AccessVol. 13
Austrian Research Institute for Artificial Intelligence (AT), Universidade de São Paulo (BR), Instituto Butantan (BR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Mathématiques, Informatique et Statistique pour l'Environnement et l'Agronomie (FR), Institut Agro Montpelier (FR), Sciences pour L’Œnologie (FR), University of Twente (NL)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Universidade de São Paulo
Zero hunger
Openalex Percentile: Top 9%
Semantic Web and Ontologies
2.48
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