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CC BY-NC-ND 4.0 · Yearb Med Inform 2022; 31(01): 236-240
DOI: 10.1055/s-0042-1742523
Section 9: Knowledge Representation and Management
Synopsis

Knowledge Representation and Management: Notable Contributions in 2021

Licong Cui
1   School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
,
Ferdinand Dhombres
2   Sorbonne Université, INSERM, Univ Sorbonne Paris Nord, LIMICS, Paris, France
3   Sorbonne Université, Service de Médecine Foetale, DMU Origyne, AP-HP, Hôpital Armand Trousseau, Paris, France
,
Jean Charlet
2   Sorbonne Université, INSERM, Univ Sorbonne Paris Nord, LIMICS, Paris, France
4   AP-HP, DRCI, Paris, France
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Summary

Objectives: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2021.

Methods: Following the International Medical Informatics Association (IMIA) Yearbook guidelines, a comprehensive and standardized review of the biomedical informatics literature was performed to select the best KRM papers published in 2021, based on PubMed queries.

Results: A total of 1,231 publications were retrieved from PubMed. We nominated 15 candidate best papers, and four of them were finally selected as the best papers in the KRM section. The topics covered by these papers include knowledge graph, ontology development, ontology alignment, and the International Classification of Diseases.

Conclusion: In the KRM best paper selection for 2021, the candidate best papers covered a wider spectrum of topics compared to the last year’s significant focus on ontology curation. In particular, ontology development for specific domains (e.g., Alzheimer’s disease, infectious diseases, bioethics) has received the most attention.

Keywords

Knowledge representation and management - ontology - KnowledgeGgraph - International Medical Informatics Association

Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management




Publication History

Article published online:
04 December 2022

© 2022. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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