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A Linked Data Visualiser for Finite Element Biosimulations - Journal

Authors: 

Muntazir Mehdi, Yasar Khan, Joao Jares, Andre Freitas, Alokkumar Jha, Antonis Sakellarios, Ratnesh Sahay

Publication Type: 
Refereed Original Article
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. Visualising and analysing 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 (experts in the field of ear mechanics) and clinical practitioners (otorhinolaryngologists) to Visualise, analyse and compare biosimulation results from heterogeneous, complex, and high volume numerical data. The SIFEM visualiser builds on conceptualising different aspects of biosimulations. In addition to the visualiser, we also propose how biosimulation numerical data can be conceptualised, such that it sustains the visualisation of large numerical data. The SIFEM Visualiser aims to help domain scientists and clinical practitioners exploring and analysing 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.
Digital Object Identifer (DOI): 
10.1142/S1793351X16002483
Publication Status: 
In Press
Date Accepted for Publication: 
Thursday, 23 June, 2016
Publication Date: 
23/06/2016
Journal: 
International Journal of Semantic Computing (IJSC)
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No