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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

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HuPSON: the human physiology simulation ontology.

Michaela Gündel¹, Erfan Younesi, Ashutosh Malhotra

¹Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, Sankt Augustin, Germany. michaela.guendel@scai-extern.fraunhofer.de.

Journal of Biomedical Semantics

|November 26, 2013

Summary

A new ontology, HuPSON, enhances biomedical simulations by providing shared semantics for data and models. This improves interoperability and knowledge integration in the Virtual Physiological Human (VPH) domain.

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Area of Science:

Biomedical Simulation
Ontology Development
Semantic Technologies

Background:

Biomedical simulation initiatives, like the Virtual Physiological Human (VPH), require controlled vocabularies for data and model exchange.
A lack of comprehensive ontologies hinders the essential concepts within the biomedical simulation domain.

Purpose of the Study:

To develop HuPSON, a foundational ontology for shared semantics and interoperability in biomedical simulation.
To address the need for a comprehensive ontology covering simulation domain concepts.

Main Methods:

Constructed HuPSON based on the Basic Formal Ontology (BFO).
Adhered to the MIREOT principles for ontology development.
Evaluated the ontology using structural features, competency questions, and use case scenarios.

Main Results:

Introduced HuPSON, a novel ontology designed for interoperability of simulations, models, and algorithms.
HuPSON is available as OWL files and a browser for accessibility.
The ontology has undergone evaluation demonstrating its structural integrity and utility.

Conclusions:

HuPSON facilitates annotation of simulation experiments and retrieval of modeling information.
Enables interoperability of algorithms and comparison of simulation results.
Links knowledge-based and simulation-based approaches, promoting semantic technologies in VPH.