BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature

BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature

Background The growth of biomedical literature presents challenges in extracting and structuring knowledge. Knowledge Graphs (KGs) offer a solution by representing relationships between biomedical entities. However, manual construction of KGs is labor-intensive and time-consuming, highlighting the n...

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Bibliographic Details
Main Authors: Henning Schäfer, Ahmad Idrissi-Yaghir, Kamyar Arzideh, Hendrik Damm, Tabea M.G. Pakull, Cynthia S. Schmidt, Mikel Bahn, Georg Lodde, Elisabeth Livingstone, Dirk Schadendorf, Felix Nensa, Peter A. Horn, Christoph M. Friedrich
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Knowledge graph
Named entity recognition
Entity linking
Clinical guidelines
Software
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024003386
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