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CC BY-NC-ND 4.0 · Yearb Med Inform 2023; 32(01): 225-229
DOI: 10.1055/s-0043-1768747
Section 9: Knowledge Representation and Management
Synopsis

Knowledge Representation and Management 2022: Findings in Ontology Development and Applications

Jean Charlet
1   Sorbonne Université, INSERM, Univ Sorbonne Paris Nord, LIMICS, Paris, France
2   AP-HP, DRCI, Paris, France
,
Licong Cui
3   McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
,
Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management › Author Affiliations
› Further Information
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Summary

Objectives: To select, present, and summarize the best papers in 2022 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook.

Methods: We conducted PubMed queries and followed the IMIA Yearbook guidelines for performing biomedical informatics literature review to select the best papers in KRM published in 2022.

Results: We retrieved 1,847 publications from PubMed. We nominated 15 candidate best papers, and two of them were finally selected as the best papers in the KRM section. The topics covered by the candidate papers include ontology and knowledge graph creation, ontology applications, ontology quality assurance, ontology mapping standard, and conceptual model.

Conclusions: In the KRM best paper selection for 2022, the candidate best papers encompassed a broad range of topics, with ontology and knowledge graph creation remaining a considerable research focus.

Keywords

Knowledge representation and management - ontology - knowledge graph - International Medical Informatics Association


Publication History

Article published online:
26 December 2023

© 2023. 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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