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20212026
most citedDynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)

53 citations · 65 across the 13 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.DB2025★ 5 cited

LinkML: An Open Data Modeling Framework

Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris +33

Scientific research relies on well-structured, standardized data; however, much of it is stored in formats such as free-text lab notebooks, non-standardized spreadsheets, or data r…

q-bio.QM2025

Why we need all the organisms: an exploration of the Monarch knowledge graph to aid mechanism discovery

Katherina Cortes, Daniel Korn, Sarah Gehrke +12

Research done using model organisms has been fundamental to the biological understanding of human genes, diseases and phenotypes. Model organisms provide tractable systems for expe…

cs.DB2025

Koza and Koza-Hub for born-interoperable knowledge graph generation using KGX

Daniel R Korn, Patrick Golden, Aaron Odell +10

Knowledge graph construction has become an essential domain for the future of biomedical research. But current approaches demand a high amount of redundant labor. These redundancie…

cs.IR2025

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering

Madan Krishnamurthy, Daniel Korn, Melissa A Haendel +2

This research aims to develop a dynamic and scalable framework to facilitate harmonization of Common Data Elements (CDEs) across heterogeneous biomedical datasets by addressing cha…

q-bio.OT2025★ 1 cited

The Cell Ontology in the age of single-cell omics

Shawn Zheng Kai Tan, Aleix Puig-Barbe, Damien Goutte-Gattat +32

Single-cell omics technologies have transformed our understanding of cellular diversity by enabling high-resolution profiling of individual cells. However, the unprecedented scale…