Scalable Representations of Diseases in Biomedical Ontologies
Author Information
Author(s): Stefan Schulz, Kent Spackman, Andrew James, Cristian Cocos, Martin Boeker
Primary Institution: Medical University of Graz, Austria
Hypothesis
The paper proposes an ontology engineering approach that simplifies the representation of diseases by conflating pathological structures, dispositions, and processes.
Conclusion
The study advocates for the use of ambiguous classes in biomedical ontologies to facilitate ontology construction and application.
Supporting Evidence
- The proposed ontology design pattern allows for more intuitive and user-friendly representations of diseases.
- The study highlights the ambiguity in current biomedical ontologies regarding the classification of diseases.
Takeaway
This study suggests that we can group different types of disease-related concepts together to make it easier to understand and work with them.
Methodology
The authors analyze existing biomedical ontologies and propose a new design pattern for representing diseases that combines different categories.
Limitations
The approach may not apply to all cases, especially where clear distinctions between structures, processes, and dispositions are necessary.
Digital Object Identifier (DOI)
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