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A relation-centric query engine for the Foundational Model of Anatomy
Landon T Detwiler1, Emily Chung, Ann Li
1Structural Informatics Group, University of Washington, Seattle, WA 98195, USA.
Studies in Health Technology and Informatics
|September 14, 2004
Summary
The Foundational Model of Anatomy (FMA) supports anatomical software. A new query engine, Emily, allows exploration of FMA
Area of Science:
- Anatomical knowledge representation
- Medical informatics
- Computational anatomy
Background:
- The Foundational Model of Anatomy (FMA) is a detailed resource for human body structure.
- Existing anatomical knowledge sources lack focus on structural relationships.
Purpose of the Study:
- To develop a query engine, Emily, for exploring the FMA's structural relationships.
- To enable users to access and analyze complex anatomical data.
Main Methods:
- Development of the Emily query engine.
- Translation of real-world anatomical queries into a constrained format for processing.
Main Results:
- Emily was developed to query the Foundational Model of Anatomy.
- Preliminary analysis indicates Emily can process constrained anatomical queries accurately.
Conclusions:
- Emily provides a novel way to explore anatomical structural relationships within the FMA.
- Further development is needed to handle a wider range of anatomical queries.