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dc.contributor.authorMehdi, Muntazir
dc.contributor.authorKhan, Yasar
dc.contributor.authorJares, Joao
dc.contributor.authorFreitas, Andre
dc.contributor.authorJha, Alok Kumar
dc.contributor.authorSakellarios, Antonis
dc.contributor.authorSahay, Ratnesh
dc.identifier.citationMehdi, 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/s1793351x16400080en_IE
dc.description.abstractBiosimulation 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.en_IE
dc.description.sponsorshipThis publication has emanated from research supported in part by the research grant from Science Foundation Ireland (SFI) under Grant No. SFI/12/RC/2289 and EU project SIFEM (contract number 600933).en_IE
dc.publisherWorld Scientific Publishingen_IE
dc.relation.ispartofInternational Journal of Semantic Computingen
dc.subjectLinked dataen_IE
dc.titleA linked data visualiser for finite element biosimulationsen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderFP7 Information and Communication Technologies
dc.local.contactRatnesh Nandan Sahay, Deri, Dangan Business Park, Nui Galway. 5253 Email:
dcterms.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::ICT/600933/EU/Semantic Infostructure interlinking an open source Finite Element tool and libraries with a model repository for the multi-scale Modelling and 3d visualization of the inner-ear/SIFEM
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/

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