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dc.contributor.authorNaja, Iman
dc.contributor.authorMarkovic, Milan
dc.contributor.authorEdwards, Pete
dc.contributor.authorCottrill, Caitlin
dc.date.accessioned2021-06-07T16:24:01Z
dc.date.available2021-06-07T16:24:01Z
dc.date.issued2021-06-06
dc.identifier.citationNaja , I , Markovic , M , Edwards , P & Cottrill , C 2021 , A Semantic Framework to Support AI System Accountability and Audit . in The Semantic Web. ESWC 2021. Lecture Notes in Computer Science . vol. 12731 , Springer Nature Switzerland AG , pp. 160-176 , 18th European Semantic Web Conference, ESWC 2021 , Hersonissos , Greece , 6/06/21 . https://doi.org/10.1007/978-3-030-77385-4_10en
dc.identifier.citationworkshopen
dc.identifier.isbn978-3-030-77384-7
dc.identifier.isbn978-3-030-77385-4
dc.identifier.otherPURE: 209123729
dc.identifier.otherPURE UUID: 72f84b2d-53ff-4550-b87a-2f17d9b68998
dc.identifier.otherORCID: /0000-0002-4527-9186/work/95222895
dc.identifier.otherORCID: /0000-0001-6634-3266/work/95222925
dc.identifier.otherScopus: 85111162978
dc.identifier.otherWOS: 000711645800010
dc.identifier.urihttps://hdl.handle.net/2164/16643
dc.descriptionThe Semantic Web - 18th International Conference, ESWC 2021, Proceedings Springer Science and Business Media Deutschland GmbH ISBN: 9783030773847 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ISSN (Print): 0302-9743 ISSN (Electronic): 1611-3349 Volume: 12731 LNCSen
dc.format.extent17
dc.language.isoeng
dc.publisherSpringer Nature Switzerland AG
dc.relation.ispartofThe Semantic Web. ESWC 2021. Lecture Notes in Computer Scienceen
dc.rightsThe final authenticated version is available online at https://doi.org/[insert DOI].” The DOI (Digital Object Identifier) can be found at the bottom of the first page of the published paperen
dc.subjectAIen
dc.subjectProvenanceen
dc.subjectAccountabilityen
dc.subjectOntologyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleA Semantic Framework to Support AI System Accountability and Auditen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Trusted Things and Communitiesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.description.versionPostprinten
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1007/978-3-030-77385-4_10
dc.identifier.urlhttps://openreview.net/forum?id=bvMbdK8JW1ken
dc.identifier.urlhttps://2021.eswc-conferences.org/en


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