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dc.contributor.authorHasnain, Ali
dc.contributor.authorKamdar, Maulik
dc.contributor.authorDeus, Helena
dc.contributor.authorMehdi, Muntazir
dc.contributor.authorDecker, Stefan
dc.date.accessioned2015-02-03T17:29:19Z
dc.date.available2015-02-03T17:29:19Z
dc.date.issued2014
dc.identifier.citationAli Hasnain, Maulik R. Kamdar, Panagiotis Hasapis, Dimitris Zeginis, Claude N. Warren, Jr, Helena F. Deus, Dimitrios Ntalaperas, Konstantinos Tarabanis, Muntazir Mehdi, and Stefan Decker (2014) Linked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discovery International Semantic Web Conference 2014en_US
dc.identifier.isbn978-3-319-11963-2
dc.identifier.urihttp://hdl.handle.net/10379/4845
dc.descriptionConference paper / Book chapteren_US
dc.description.abstractThe increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As an integral part of the EU GRANATUM project, a Linked Biomedical Dataspace (LBDS) was developed to semantically interlink data from multiple sources and augment the design of in silico experiments for cancer chemoprevention drug discovery. The different components of the LBDS facilitate both the bioinformaticians and the biomedical researchers to publish, link, query and visually explore the heterogeneous datasets. We have extensively evaluated the usability of the entire platform. In this paper, we showcase three different workflows depicting real-world scenarios on the use of LBDS by the domain users to intuitively retrieve meaningful information from the integrated sources. We report the important lessons that we learned through the challenges encountered and our accumulated experience during the collaborative processes which would make it easier for LD practitioners to create such dataspaces in other domains. We also provide a concise set of generic recommendations to develop LD platforms useful for drug discovery.en_US
dc.description.sponsorshipEU FP7 GRANATUM project,ref. FP7-ICT-2009-6-270139; Science Foundation Ireland - Grants # SFI/12/RC/2289 and SFI/08/CE/I1380 (Lion 2)en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofInternational Semantic Web Conference 2014en
dc.relation.ispartofseriesLecture Notes in Computer Science;8796
dc.subjectLinked Dataen_US
dc.subjectDrug discoveryen_US
dc.subjectSPARQL Federationen_US
dc.subjectVisualizationen_US
dc.subjectBiomedical researchen_US
dc.titleLinked Biomedical Dataspace: Lessons Learned integrating Data for Drug Discoveryen_US
dc.typeConference Paperen_US
dc.date.updated2015-01-27T18:21:51Z
dc.local.publishedsourcehttp://dx.doi.org/10.1007/978-3-319-11964-9_8en_US
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funder|~|
dc.internal.rssid7914063
dc.local.contactSyed Muhammad Ali Hasnain, Deri, Ida Business Park, Lower Dangan, Galway. Email: ali.hasnain@deri.org
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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