A linked data visualiser for finite element biosimulations

Mehdi, M., Khan, Y., Freitas, A., Jares, J., Raza, S., Hasapis, P., & Sahay, R. (2016). A Linked Data Visualiser for Finite Element Biosimulations. Paper presented at the 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 4-6 Feb.

Abstract

Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological systems, with applications ranging from human ear, cardiovascular, to neurovascular research. Finite Element (FE) Biosimulation experiments produce huge amounts of numerical data. Visualizing and analyzing this huge numerical biosimulation data is a strenuous task. In this paper, we present a Linked Data Visualiser - called SIFEM Visualiser - to help domain-experts to Visualise, analyze and compare biosimulation results from heterogeneous, complex, and high volume numerical data. The SIFEM Visualiser aims to help domain scientists and clinicians exploring and analyzing Finite Element (FE) numerical data and simulation results obtained from different aspects of inner-ear (Cochlear) model - such as biological, geometrical, mathematical, and physical models. We validate the SIFEM Visualiser in both dimensions of qualitative and quantitative evaluation.

Funder

Science Foundation Ireland
FP7 Information and Communication Technologies

Publisher

IEEE

Rights

Attribution-NonCommercial-NoDerivs 3.0 Ireland

cbn

Collections

Data Science Institute (Conference Papers)