A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

Background: Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner. To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated with the latest findings. Natural language processing (NLP) has...

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Bibliographic Details
Main Authors: Negin Sadat Babaiha, Hassan Elsayed, Bide Zhang, Abish Kaladharan, Priya Sethumadhavan, Bruce Schultz, Jürgen Klein, Bruno Freudensprung, Vanessa Lage-Rupprecht, Alpha Tom Kodamullil, Marc Jacobs, Stefan Geissler, Sumit Madan, Martin Hofmann-Apitius
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Artificial Intelligence in the Life Sciences
Subjects:
Knowledge graphs
Relation extraction
Natural language processing
Biomedical text mining
Biological expression language (BEL)
Human brain pharmacome (HBP)
Online Access:http://www.sciencedirect.com/science/article/pii/S2667318523000223

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http://www.sciencedirect.com/science/article/pii/S2667318523000223

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