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Distributed biomedical terminology development: from experiments to open process.

¹200 First St SW, Mayo Clinic, Rochester, MN, USA. Chute@Mayo.edu

Yearbook of Medical Informatics

|October 13, 2010

Summary

This summary is machine-generated.

Social computing may enable distributed creation of biomedical terminologies and ontologies. While no Wikipedia-scale example exists, projects like Gene Ontology and ICD-11 show promise for collaborative development.

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Area of Science:

Biomedical Informatics
Computational Biology
Knowledge Representation

Background:

Social computing platforms like Wikipedia have transformed large-scale content creation and maintenance.
Biomedical terminologies and ontologies are critical, complex artifacts for research and healthcare.
The feasibility of applying social computing models to biomedical terminology development is under examination.

Purpose of the Study:

To assess the potential of social computing for the distributed authoring of biomedical terminologies and ontologies.
To review the history and current status of distributed authoring in this domain.

Main Methods:

Historical review of distributed authoring developments.
Analysis of existing collaborative platforms and tools.

Main Results:

Description logic-driven authoring tools, group processes, and web platforms indicate feasibility.
No current example matches Wikipedia's scale in biomedical terminology development.
Projects such as the Gene Ontology and ICD-11 revision show potential for public, distributed authoring.

Conclusions:

Distributed authoring of biomedical terminologies and ontologies is likely feasible and practical.
Further development and adoption of collaborative platforms are needed to realize this potential.
Successful models may emerge from ongoing projects like Gene Ontology and ICD-11.