113 citations · 484 across the 22 of their papers we have counts for
5 papers · 1 filter
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)
Sabrina Toro, Anna V Anagnostopoulos, Sue Bello +27
Background: Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in…
MapperGPT: Large Language Models for Linking and Mapping Entities
Nicolas Matentzoglu, J. Harry Caufield, Harshad B. Hegde +6
Aligning terminological resources, including ontologies, controlled vocabularies, taxonomies, and value sets is a critical part of data integration in many domains such as healthca…
An evaluation of GPT models for phenotype concept recognition
Tudor Groza, Harry Caufield, Dylan Gration +5
Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-trac…
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
J. Harry Caufield, Harshad Hegde, Vincent Emonet +9
Creating knowledge bases and ontologies is a time consuming task that relies on a manual curation. AI/NLP approaches can assist expert curators in populating these knowledge bases,…
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
J Harry Caufield, Tim Putman, Kevin Schaper +23
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing,…