ArticleJournal of biomedical semantics2011
Scalable representations of diseases in biomedical ontologies.
Article in Journal of biomedical semantics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- The use of foundational ontologies in biomedical research.Journal of biomedical semantics · 2023Review
- Ontological interpretation of biomedical database content.Journal of biomedical semantics · 2017Article
- Ontorat: automatic generation of new ontology terms, annotations, and axioms based on ontology design patterns.Journal of biomedical semantics · 2015Article
- Mapping hypersensitivity/allergic diseases in the International Classification of Diseases (ICD)-11: cross-linking terms and unmet needs.Clinical and translational allergy · 2015Article
- The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.Journal of biomedical semantics · 2014Article
- The epidemiology ontology: an ontology for the semantic annotation of epidemiological resources.Journal of biomedical semantics · 2014Article
- Categorization of allergic disorders in the new World Health Organization International Classification of Diseases.Clinical and translational allergy · 2014Article
- Towards an ontological representation of morbidity and mortality in Description Logics.Journal of biomedical semantics · 2012Article
- Competing interpretations of disorder codes in SNOMED CT and ICD.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Metonymies in medical terminologies. A SNOMED CT case study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.Bioinformatics (Oxford, England) · 2011Article
- Selected papers from the 13th Annual Bio-Ontologies Special Interest Group Meeting.Journal of biomedical semantics · 2011Article
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Authors and funding
5 authors.
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Abstract
backgroundThe realm of pathological entities can be subdivided into pathological dispositions, pathological processes, and pathological structures. The latter are the bearer of dispositions, which can then be realized by their manifestations - pathologic processes. Despite its ontological soundness, implementing this model via purpose-oriented domain ontologies will likely require considerable effort, both in ontology construction and maintenance, which constitutes a considerable problem for SNOMED CT, presently the largest biomedical ontology.
resultsWe describe an ontology design pattern which allows ontologists to make assertions that blur the distinctions between dispositions, processes, and structures until necessary. Based on the domain upper-level ontology BioTop, it permits ascriptions of location and participation in the definition of pathological phenomena even without an ontological commitment to a distinction between these three categories. An analysis of SNOMED CT revealed that numerous classes in the findings/disease hierarchy are ambiguous with respect to process vs. disposition. Here our proposed approach can easily be applied to create unambiguous classes. No ambiguities could be defined regarding the distinction of structure and non-structure classes, but here we have found problematic duplications.
conclusionsWe defend a judicious use of disjunctive, and therefore ambiguous, classes in biomedical ontologies during the process of ontology construction and in the practice of ontology application. The use of these classes is permitted to span across several top-level categories, provided it contributes to ontology simplification and supports the intended reasoning scenarios.
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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.