A linked data visualiser for finite element biosimulations
Mehdi, Muntazir Khan, Yasar Jares, Joao Freitas, Andre Jha, Alok Kumar Sakellarios, Antonis Sahay, Ratnesh
Mehdi, Muntazir
Khan, Yasar
Jares, Joao
Freitas, Andre
Jha, Alok Kumar
Sakellarios, Antonis
Sahay, Ratnesh
Loading...
Repository DOI
Publication Date
2016
Keywords
Type
Article
Downloads
Citation
Mehdi, Muntazir, Khan, Yasar, Jares, Joao, Freitas, Andre, Jha, Alok Kumar, Sakellarios, Antonis, & Sahay, Ratnesh. (2016). A Linked Data Visualiser for Finite Element Biosimulations. International Journal of Semantic Computing, 10(02), 219-245. doi: 10.1142/s1793351x16400080
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.
Publisher
World Scientific Publishing
Publisher DOI
10.1142/S1793351X16400080
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland