Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)

Abstract Background Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction and maintenance demand substantial resources and n...

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Autori principali:	Sabrina Toro, Anna V. Anagnostopoulos, Susan M. Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, Damion M. Dooley, William D. Duncan, Petra Fey, Pascale Gaudet, Nomi L. Harris, Marcin P. Joachimiak, Leila Kiani, Tiago Lubiana, Monica C. Munoz-Torres, Shawn O‘Neil, David Osumi-Sutherland, Aleix Puig-Barbe, Justin T. Reese, Leonore Reiser, Sofia MC. Robb, Troy Ruemping, James Seager, Eric Sid, Ray Stefancsik, Magalie Weber, Valerie Wood, Melissa A. Haendel, Christopher J. Mungall
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2024-10-01
Serie:	Journal of Biomedical Semantics
Soggetti:	Ontologies Large language models Biocuration Artificial intelligence Knowledge graphs Ontology engineering
Accesso online:	https://doi.org/10.1186/s13326-024-00320-3
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