TY - JOUR
T1 - A Linked Data Visualiser for Finite Element Biosimulations
AU - Mehdi, Muntazir
AU - Khan, Yasar
AU - Jares, Joao
AU - Freitas, Andre
AU - Jha, Alok Kumar
AU - Sakellarios, Antonis
AU - Sahay, Ratnesh
N1 - Publisher Copyright:
© 2016 World Scientific Publishing Company.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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.
KW - Biosimulations
KW - linked data
KW - visualisation
UR - http://www.scopus.com/inward/record.url?scp=85073051126&partnerID=8YFLogxK
U2 - 10.1142/S1793351X16400080
DO - 10.1142/S1793351X16400080
M3 - Article
SN - 1793-351X
VL - 10
SP - 219
EP - 245
JO - International Journal of Semantic Computing
JF - International Journal of Semantic Computing
IS - 2
ER -