A curation system of rice trait ontology with reliable interoperation by LLM and PubAnnotation
Integrating LLMs with Rice-Alterome and PubAnnotation offers a promising solution for automating rice trait ontology curation. This approach accelerates evidence collection and enhances data consistency and accessibility. Future extensions of this framework will target additional crops such as wheat and maize and focus on refining LLM-based retrieval and annotation mechanisms for broader agricultural genomics applications.
Authors
- Jingbo Xia (ORCID: https://orcid.org/0000-0002-7285-588X)
- Xinzhi Yao (ORCID: https://orcid.org/0000-0001-6795-2653)
- Pierre Larmande (ORCID: https://orcid.org/0000-0002-2923-9790)
- Jin-Dong Kim (ORCID: https://orcid.org/0000-0001-9660-6303)
- Yawen Liu (ORCID: https://orcid.org/0000-0001-8165-6850)
- Jawad Ahmad (ORCID: https://orcid.org/0000-0001-6289-8248)
Institutions
- Université de Montpellier (FR)
- Huazhong Agricultural University (CN)
- Research Organization of Information and Systems (JP)
- Institut de Recherche pour le Développement (FR)
Publication Details
- Journal
- Genomics & Informatics
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1186/s44342-025-00058-z
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.81