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dc.contributor.authorKhan, Yasar
dc.contributor.authorSaleem, Muhammad
dc.contributor.authorMehdi, Muntazir
dc.contributor.authorHogan, Aidan
dc.contributor.authorMehmood, Qaiser
dc.contributor.authorRebholz-Schuhmann, Dietrich
dc.contributor.authorSahay, Ratnesh
dc.date.accessioned2018-07-31T11:36:46Z
dc.date.available2018-07-31T11:36:46Z
dc.date.issued2017-02-01
dc.identifier.citationKhan, Yasar, Saleem, Muhammad, Mehdi, Muntazir, Hogan, Aidan, Mehmood, Qaiser, Rebholz-Schuhmann, Dietrich, & Sahay, Ratnesh. (2017). SAFE: SPARQL Federation over RDF Data Cubes with Access Control. Journal of Biomedical Semantics, 8(1), 5. doi: 10.1186/s13326-017-0112-6en_IE
dc.identifier.issn2041-1480
dc.identifier.urihttp://hdl.handle.net/10379/7445
dc.description.abstractSeveral query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; consequently, privacy is a major concern when federating queries over such datasets. In the Healthcare and Life Sciences (HCLS) domain real-world datasets contain sensitive statistical information: strict ownership is granted to individuals working in hospitals, research labs, clinical trial organisers, etc. Therefore, the legal and ethical concerns on (i) preserving the anonymity of patients (or clinical subjects); and (ii) respecting data ownership through access control; are key challenges faced by the data analytics community working within the HCLS domain. Likewise statistical data play a key role in the domain, where the RDF Data Cube Vocabulary has been proposed as a standard format to enable the exchange of such data. However, to the best of our knowledge, no existing approach has looked to optimise federated queries over such statistical data.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, EU FP7 project Linked2Safety (contract number 288328), EU FP7 project GeoKnow (contract number 318159), the Millennium Nucleus Center for Semantic Web Research under Grant NC120004, and Fondecyt Grant No. 11140900.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherBioMed Centralen_IE
dc.relation.ispartofJournal of Biomedical Semanticsen
dc.subjectSPARQL query federationen_IE
dc.subjectData access policyen_IE
dc.subjectLinked dataen_IE
dc.subjectHealthcareen_IE
dc.subjectLife sciencesen_IE
dc.titleSAFE: SPARQL federation over RDF data cubes with access controlen_IE
dc.typeArticleen_IE
dc.date.updated2018-07-06T16:20:57Z
dc.identifier.doi10.1186/s13326-017-0112-6
dc.local.publishedsourcehttps://doi.org/10.1186/s13326-017-0112-6en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderFP7 Information and Communication Technologiesen_IE
dc.contributor.funderMillennium Nucleus Center for Semantic Web Researchen_IE
dc.internal.rssid14544084
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/318159/EU/Making the Web an Exploratory for Geospatial Knowledge/GEOKNOWen_IE
dcterms.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::ICT/288328/EU/A NEXT-GENERATION, SECURE LINKED DATA MEDICAL INFORMATION SPACE FOR SEMANTICALLY-INTERCONNECTING ELECTRONIC HEALTH RECORDS AND CLINICAL TRIALS SYSTEMS ADVANCING PATIENTS SAFETY IN CLINICAL RESEARCH/LINKED2SAFETYen_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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