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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Putting biomedical ontologies to work.

B Smith¹, M Brochhausen

¹Institute of Formal Ontology and Medical Information Science (IFOMIS), Universität des Saarlandes, Campus A2.4, 66123 Saarbrücken, Germany. phismith@buffalo.edu

Methods of Information in Medicine

|February 6, 2010

Summary

Biomedical ontologies require user-friendliness and broad coverage for data annotation. Adhering to development principles enhances usability and interoperability for both SNOMED CT and the OBO Foundry.

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

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Published on: June 13, 2025

Area of Science:

Biomedical informatics
Ontology engineering
Data science

Background:

Biomedical ontologies are crucial for integrating clinical and experimental data.
Widespread adoption in data annotation hinges on user-friendliness, reliability, cost-effectiveness, and coverage.
Achieving extensive usage requires addressing key challenges in ontology development.

Purpose of the Study:

To examine approaches to enhance the usability and effectiveness of biomedical ontologies.
To compare the development principles of SNOMED CT (medicine) and the OBO Foundry (biology).
To identify factors promoting accurate maintenance, reliable application, and efficient interoperation.

Main Methods:

Focused analysis of development principles proposed by SNOMED CT and the OBO Foundry.
Comparative study of their respective strategies for ontology development and application.
Evaluation of how adherence to principles impacts ontology usability and interoperation.

Main Results:

SNOMED CT and the OBO Foundry exhibit distinct development approaches.
Both initiatives show a trend towards increased formal rigor.
A move towards cross-domain interoperability is evident in both communities.

Conclusions:

A trend towards greater formal rigor and cross-domain interoperability is beneficial for ontologies.
Future ontology development must prioritize harmonization and integration across disciplines.
Coherent formalization is a prerequisite for effective cross-disciplinary ontology integration.