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A Linked Data Visualiser for Finite Element Biosimulations

Authors: 

Muntazir Mehdi, Yasar Khan, Andre Freitas, Joao Bosco Jares, Saleem Raza, Panagiotis Hasapis, Ratnesh Sahay

Publication Type: 
Refereed Conference Meeting Proceeding
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.
Conference Name: 
Tenth IEEE International Conference on Semantic Computing, California, USA
Digital Object Identifer (DOI): 
0
Publication Date: 
05/01/2016
Conference Location: 
United States of America
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No
Publication document: