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dc.contributor.authorMehdi, Muntazir
dc.contributor.authorKhan, Yasar
dc.contributor.authorFreitas, Andre
dc.contributor.authorJares, Joao
dc.contributor.authorRaza, Saleem
dc.contributor.authorHasapis, Panagiotis
dc.contributor.authorSahay, Ratnesh
dc.date.accessioned2018-08-08T07:44:19Z
dc.date.available2018-08-08T07:44:19Z
dc.date.issued2016-02-04
dc.identifier.citationMehdi, M., Khan, Y., Freitas, A., Jares, J., Raza, S., Hasapis, P., & Sahay, R. (2016). A Linked Data Visualiser for Finite Element Biosimulations. Paper presented at the 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 4-6 Feb.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/7471
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. 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.en_IE
dc.description.sponsorshipThis publication has emanated from research supported in part by the research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 and EU project SIFEM (contract Number 600933).en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherIEEEen_IE
dc.relation.ispartofICSCen
dc.subjectData visualizationen_IE
dc.subjectFinite element analysisen_IE
dc.subjectData modelsen_IE
dc.subjectMathematical modelen_IE
dc.subjectNumerical modelsen_IE
dc.subjectBiological system modelingen_IE
dc.subjectComputational modelingen_IE
dc.titleA linked data visualiser for finite element biosimulationsen_IE
dc.typeConference Paperen_IE
dc.date.updated2018-07-10T17:44:59Z
dc.identifier.doi10.1109/ICSC.2016.96
dc.local.publishedsourcehttp://dx.doi.org/10.1109/ICSC.2016.96en_IE
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderFP7 Information and Communication Technologiesen_IE
dc.internal.rssid14544117
dc.local.contactRatnesh Nandan Sahay, Deri, Dangan Business Park, Nui Galway. 5253 Email: ratnesh.sahay@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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/SIFEMen_IE
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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