Human-Large Language Model collaboration for systematic ontology updates: a case study in the domain of dietary lifestyle

Human-LLM collaboration improves efficiency, scalability, and sustainability in ontology engineering, supporting the maintenance of complex biomedical ontologies.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2026-01-19
DOI
https://doi.org/10.1093/jamia/ocag015
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Human-Large Language Model collaboration for systematic ontology updates: a case study in the domain of dietary lifestyle

Jinsun Jung, Hyeoneui Kim, Ricky Taira
Journal of the American Medical Informatics Association
Biomedical Text Mining and Ontologies
article

Human-Large Language Model collaboration for systematic ontology updates: a case study in the domain of dietary lifestyle

Jinsun Jung, Hyeoneui Kim, Ricky Taira
article en

Abstract

Human-LLM collaboration improves efficiency, scalability, and sustainability in ontology engineering, supporting the maintenance of complex biomedical ontologies.

Journal of the American Medical Informatics Association
Seoul National University (KR), University of California, Los Angeles (US), New Generation University College (ET)
Openalex Percentile: Top 47%
Biomedical Text Mining and Ontologies
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