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dc.contributor.authorCorsar, David
dc.contributor.authorMarkovic, Milan
dc.contributor.authorEdwards, Peter
dc.contributor.editorBelhajjame, Khalid
dc.contributor.editorGehani, Ashish
dc.contributor.editorAlper, Pinar
dc.date.accessioned2019-03-01T10:50:05Z
dc.date.available2019-03-01T10:50:05Z
dc.date.issued2018
dc.identifier126073703
dc.identifier08b4b2cb-8301-4c51-8255-f9dba526eb01
dc.identifier85053819422
dc.identifier000477747000018
dc.identifier.citationCorsar , D , Markovic , M & Edwards , P 2018 , Capturing the Provenance of Internet of Things Deployments . in K Belhajjame , A Gehani & P Alper (eds) , Provenance and Annotation of Data and Processes : 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings . Lecture Notes in Computer Science , vol. 11017 , Springer , Chamonix , pp. 196-199 , 7th International Provenance and Annotation Workshop , London , United Kingdom , 9/07/18 . https://doi.org/10.1007/978-3-319-98379-0_18en
dc.identifier.citationconferenceen
dc.identifier.isbn978-3-319-98378-3
dc.identifier.isbn978-3-319-98379-0
dc.identifier.issn0302-9743
dc.identifier.otherORCID: /0000-0002-4527-9186/work/70471390
dc.identifier.urihttp://hdl.handle.net/2164/11980
dc.descriptionThe research described here is supported by the RCUK Digital Economy programme award made to the University of Aberdeen; award reference: EP/N028074/1.en
dc.format.extent4
dc.format.extent430860
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofProvenance and Annotation of Data and Processesen
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.subjectIoT deploymentsen
dc.subjectSemantic Sensor Networksen
dc.subjectProvenanceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/N028074/1en
dc.subject.lccQA75en
dc.titleCapturing the Provenance of Internet of Things Deploymentsen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.identifier.doi10.1007/978-3-319-98379-0_18


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