Subscribe to RSS
![](/products/assets/desktop/img/oa-logo.png)
DOI: 10.1055/s-0042-1742523
Knowledge Representation and Management: Notable Contributions in 2021
![](https://www.thieme-connect.de/media/10.1055-s-00034612/202201/lookinside/thumbnails/10-1055-s-0042-1742523_cui-1.jpg)
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 AssociationSection 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/)
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Dhombres F, Charlet J. Knowledge Representation and Management, It’s Time to Integrate! Yearb Med Inform 2017 Aug;26(1):148-51.
- 2 Dhombres F, Charlet J; Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management. As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018. Yearb Med Inform 2018 Aug;27(1):140-5.
- 3 Dhombres F, Charlet J; Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management. Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes. Yearb Med Inform 2019 Aug;28(1):152-5.
- 4 Dhombres F, Charlet J; Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management. Design and Use of Semantic Resources: Findings from the Section on Knowledge Representation and Management of the 2020 International Medical Informatics Association Yearbook. Yearb Med Inform 2020 Aug;29(1):163-8.
- 5 Dhombres F, Charlet J; Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management. Knowledge Representation and Management: Interest in New Solutions for Ontology Curation. Yearb Med Inform 2021 Aug;30(1):185-90.
- 6 Vogt L. FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example. J Biomed Semantics 2021 Nov 25;12(1):20.
- 7 Keet CM, Grütter R. Toward a systematic conflict resolution framework for ontologies. J Biomed Semantics 2021 Aug 9;12(1):15.
- 8 Wang P, Hu Y, Bai S, Zou S. Matching Biomedical Ontologies: Construction of Matching Clues and Systematic Evaluation of Different Combinations of Matchers. JMIR Med Inform 2021 Aug 19;9(8):e28212..
- 9 Harrison JE, Weber S, Jakob R, Chute CG. ICD-11: an international classification of diseases for the twenty-first century. BMC Med Inform Decis Mak 2021 Nov 9;21(Suppl 6):206.
- 10 Delmas M, Filangi O, Paulhe N, Vinson F, Duperier C, Garrier W, et al. FORUM: Building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases. Bioinformatics 2021 Sep 3;37(21):3896–904.
- 11 Deng L, Chen L, Yang T, Liu M, Li S, Jiang T. Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. J Med Internet Res 2021 Jun 15;23(6):e26892.
- 12 Huang Z, Hu Q, Liao M, Miao C, Wang C, Liu G. Knowledge Graphs of Kawasaki Disease. Health Inf Sci Syst 2021 Feb 27;9(1):11..
- 13 Henry V, Moszer I, Dameron O, Vila Xicota L, Dubois B, Potier MC, et al; INSIGHT-preAD Study Group. Converting disease maps into heavyweight ontologies: general methodology and application to Alzheimer’s disease. Database (Oxford) 2021 Feb 16;2021:baab004.
- 14 Babcock S, Beverley J, Cowell LG, Smith B. The Infectious Disease Ontology in the age of COVID-19. J Biomed Semantics 2021 Jul 18;12(1):13.
- 15 Habibi-Koolaee M, Shahmoradi L, Niakan Kalhori SR, Ghannadan H, Younesi E. STO: Stroke Ontology for Accelerating Translational Stroke Research. Neurol Ther 2021 Jun;10(1):321-33.
- 16 Hong N, Chang F, Ou Z, Wang Y, Yang Y, Guo Q, et al. Construction of the cervical cancer common terminology for promoting semantic interoperability and utilization of Chinese clinical data. BMC Med Inform Decis Mak 2021 Nov 16;21(Suppl 9):309.
- 17 Prieto Santamaría L, Fern⃡ndez Loón D, Díaz-Honrubia AJ, Ruiz EM, Nifakos S, Rodríguez-Gonz⃡lez A. Towards the Representation of Network Assets in Health Care Environments Using Ontologies. Methods Inf Med 2021 Dec;60(S 02):e89-e102.
- 18 Odeh M, Kharbat FF, Yousef R, Odeh Y, Tbaishat D, Hakooz N, et al. iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19. Front Med (Lausanne) 2021 May 21;8:619978.
- 19 Chatterjee A, Prinz A, Gerdes M, Martinez S. An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study. J Med Internet Res 2021 Apr 9;23(4):e24656.
- 20 Nikiema JN, Mougin F, Jouhet V. Building a Graph Representation of LOIN® to Facilitate its Alignment to French Terminologies. AMIA Annu Symp Proc 2021 Jan 25;2020:933-42.