Design of occupational cancers ontology
Journal of Behdasht dar Arseh (i.e., Health in the Field),
Vol. 13 No. 1 (1404),
1 October 2025
,
Page 10-21
https://doi.org/10.22037/jhf.v13i1.47954
Abstract
Background and Aims: Occupational cancers pose a serious challenge in the field of occupational health. This study aimed to develop an initial ontology model for organizing and analyzing data related to this disease. This ontology can serve as a foundation for building knowledge-based decision support systems, improving early diagnosis, and providing more effective treatment solutions.
Materials and Methods: The statistical population of this research consisted of terms and phrases related to occupational cancers published in reputable scientific publications and sources such as the International Labour Organization. Utilizing knowledge engineering methods, particularly modern methods and McGuinness, concepts and semantic relationships were extracted. Finally, Protégé software was used to construct and implement the initial ontology model. Ethical considerations were observed at all stages of the study.
Results: The ontology design results indicated the identification of 1 superclass, 6 classes, and 94 instances. This ontology was developed in seven stages, focusing on five main features of the entities. Feedback from a panel of experts in related fields, such as occupational health and occupational medicine, was obtained to assess the ontology’s validity, which led to the confirmation of its structure and content.
Conclusion: The results of this study led to the design of a preliminary ontology model for occupational cancers. By providing a common language to describe concepts and relationships, this ontology can contribute to improving research and management processes for these diseases. However, further development of the ontology, considering more complex relationships and higher hierarchical levels, could enhance its accuracy and comprehensiveness.
- Ontology
- Occupational cancer
- Carcinogenic factors
- Occupational exposure
- Information retrieval
How to Cite
References
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