Name
Abstract | ||
|---|---|---|
Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain.We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles; the constructed ontology has been evaluated via structural features, competency questions and use case scenarios.The ontology is freely available at: http://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html (owl files) and http://bishop.scai.fraunhofer.de/scaiview/ (browser).HuPSON provides a framework for a) annotating simulation experiments, b) retrieving relevant information that are required for modelling, c) enabling interoperability of algorithmic approaches used in biomedical simulation, d) comparing simulation results and e) linking knowledge-based approaches to simulation-based approaches. It is meant to foster a more rapid uptake of semantic technologies in the modelling and simulation domain, with particular focus on the VPH domain. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1186/2041-1480-4-35 | J. Biomedical Semantics |
Keywords | Field | DocType |
biomedical research,bioinformatics | Data science,Data mining,Ontology,Exchange of information,Computer science,Interoperability,Virtual Physiological Human,Human physiology,Controlled vocabulary,Semantics | Journal |
Volume | Issue | ISSN |
4 | 1 | 2041-1480 |
Citations | PageRank | References |
3 | 0.49 | 20 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michaela Gündel | 1 | 8 | 2.29 |
| Erfan Younesi | 2 | 38 | 3.28 |
| Ashutosh Malhotra | 3 | 13 | 1.38 |
| Jiali Wang | 4 | 5 | 5.34 |
| Hui Li | 5 | 181 | 74.54 |
| Bijun Zhang | 6 | 15 | 2.24 |
| Bernard De Bono | 7 | 529 | 50.63 |
| Heinz-Theodor Mevissen | 8 | 3 | 0.49 |
| Martin Hofmann-Apitius | 9 | 372 | 30.08 |