activity
20222024
most citedStructured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning

113 citations · 213 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2024

The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies

Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield +5

The Artificial Intelligence Ontology (AIO) is a systematization of artificial intelligence (AI) concepts, methodologies, and their interrelations. Developed via manual curation, wi…

cs.AI2023★ 53 cited

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…

cs.AI2023★ 1 cited

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski +29

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these…

q-bio.GN2023★ 7 cited

Gene Set Summarization using Large Language Models

Marcin P. Joachimiak, J. Harry Caufield, Nomi L. Harris +2

Molecular biologists frequently interpret gene lists derived from high-throughput experiments and computational analysis. This is typically done as a statistical enrichment analysi…

cs.AI2023★ 113 cited

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,…

q-bio.QM2023

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,…

cs.AI2022★ 39 cited

Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions

Sanya B. Taneja, Tiffany J. Callahan, Mary F. Paine +4

Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical natural products are co-consumed with pharmaceutical drugs. Understanding mechanisms of NPDIs is key…