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dc.contributor.authorWilmering, Ten_US
dc.contributor.authorFazekas, Gen_US
dc.contributor.authorSandler, MBen_US
dc.date.accessioned2018-01-30T16:23:27Z
dc.date.issued2016en_US
dc.date.submitted2018-01-12T12:18:24.568Z
dc.identifier.isbn978-3-319-46546-3en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/31884
dc.format.extent229 - 237en_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in International Semantic Web Conference following peer review. The version of record is available https://link.springer.com/chapter/10.1007%2F978-3-319-46547-0_24
dc.titleAUFX-O: Novel Methods for the Representation of Audio Processing Workflowsen_US
dc.typeConference Proceeding
dc.rights.holder© Springer International Publishing AG 2016
dc.identifier.doi10.1007/978-3-319-46547-0_24en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389086600024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.publication-statusPublisheden_US
pubs.volume9982en_US


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