A linked data platform for finite element biosimulations
Mehdi, Muntazir ; Khan, Yasar ; Freitas, Andre ; Jares, Joao ; Decker, Stefan ; Sahay, Ratnesh
Mehdi, Muntazir
Khan, Yasar
Freitas, Andre
Jares, Joao
Decker, Stefan
Sahay, Ratnesh
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Repository DOI
Publication Date
2015-09-16
Type
Conference Paper
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Citation
Mehdi, Muntazir, Khan, Yasar, Freitas, Andre, Jares, Joao, Decker, Stefan, & Sahay, Ratnesh. (2015). A linked data platform for finite element biosimulations. Paper presented at the Proceedings of the 11th International Conference on Semantic Systems, Vienna, Austria, 16-17 September.
Abstract
Biosimulation models have been recently introduced to understand the exact causative factors that give rise to impairment in human organs. Finite Element Method (FEM) provides a mathematical framework to simulate dynamic biological systems, with applications ranging from human ear, cardiovascular, to neurovascular research. Due to lack of a well-integrated data infrastructure, the steps involved in the execution and comparative evaluation of large Finite Element (FE) simulations are time consuming and are performed in isolated environments. In this paper, we present a Linked Data platform to improve the automation in integration, analysis and visualisation of biosimulation models for the inner-ear (cochlea) mechanics. The proposed platform aims to help domain scientists and clinicians for exploring and analysing Finite Element (FE) numerical data and simulation results obtained from multiple domains such as biological, geometrical, mathematical, physical models. We validate the platform by conducting a qualitative survey and perform quantitative experiments to record overall performance.
Publisher
ACM
Publisher DOI
10.1145/2814864.2814884
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland