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Related Experiment Video

Updated: Aug 19, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Knowledge Representation and Management: Notable Contributions in 2021.

Licong Cui¹, Ferdinand Dhombres^2,3, Jean Charlet^2,4

¹School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.

Yearbook of Medical Informatics

|December 4, 2022

Summary

This summary is machine-generated.

This study identified the top Knowledge Representation and Management (KRM) papers from 2021. Key topics included knowledge graphs and domain-specific ontology development.

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Area of Science:

Biomedical Informatics
Knowledge Representation and Management (KRM)

Background:

The field of Knowledge Representation and Management (KRM) is crucial for organizing and utilizing biomedical information.
Identifying seminal works aids researchers in staying abreast of advancements.

Purpose of the Study:

To select and summarize the most impactful Knowledge Representation and Management (KRM) papers published in 2021.
To provide an overview of the key research trends within KRM.

Main Methods:

A systematic literature review was conducted following International Medical Informatics Association (IMIA) Yearbook guidelines.
PubMed queries were utilized to identify relevant publications from 2021.
A rigorous selection process was applied to nominate and finalize the best KRM papers.

Main Results:

1,231 publications were initially retrieved from PubMed.
15 candidate papers were nominated, with four ultimately selected as the best KRM papers.
Selected papers covered knowledge graphs, ontology development, ontology alignment, and the International Classification of Diseases.

Conclusions:

The 2021 KRM best paper selection demonstrated a broader topic range compared to previous years.
Ontology development for specialized domains, such as Alzheimer's disease and infectious diseases, garnered significant attention.
Advancements in knowledge representation are increasingly domain-specific.