ArticleFrontiers in psychiatry2018
From Affective Science to Psychiatric Disorder: Ontology as a Semantic Bridge.
Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Responsible and innovative AI for mental health care: five priority themes.NPP - digital psychiatry and neuroscience · 2026Review
- OnTEPT: a multimodal OWL ontology for post-traumatic stress disorder.Journal of biomedical semantics · 2026Article
- The Affective Science Network: A Fieldwide Map of over 1 Million Citations.Affective science · 2025Article
- Large language models can extract metadata for annotation of human neuroimaging publications.Frontiers in neuroinformatics · 2025Article
- Developing and using ontologies in behavioural science: addressing issues raised.Wellcome open research · 2022Article
- An Ontology-Based Framework for Psychological Monitoring in Education During the COVID-19 Pandemic.Frontiers in psychology · 2021Article
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2 authors.
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Abstract
Advances in emotion and affective science have yet to translate routinely into psychiatric research and practice. This is unfortunate since emotion and affect are fundamental components of many psychiatric conditions. Rectifying this lack of interdisciplinary integration could thus be a potential avenue for improving psychiatric diagnosis and treatment. In this contribution, we propose and discuss an ontological framework for explicitly capturing the complex interrelations between affective entities and psychiatric disorders, in order to facilitate mapping and integration between affective science and psychiatric diagnostics. We build on and enhance the categorisation of emotion, affect and mood within the previously developed Emotion Ontology, and that of psychiatric disorders in the Mental Disease Ontology. This effort further draws on developments in formal ontology regarding the distinction between normal and abnormal in order to formalize the interconnections. This operational semantic framework is relevant for applications including clarifying psychiatric diagnostic categories, clinical information systems, and the integration and translation of research results across disciplines.
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