Show simple item record

dc.contributor.authorZhou, Baifan
dc.contributor.authorZheng, Zhuoxun
dc.contributor.authorZhou, Dongzhuoran
dc.contributor.authorCheng, Gong
dc.contributor.authorJimenez-Ruiz, Ernesto
dc.contributor.authorTrung-Kien, Tran
dc.contributor.authorStepanova, Daria
dc.contributor.authorGad-Elrab, Mohamed H.
dc.contributor.authorNikolov, Nikolay
dc.contributor.authorSoylu, Ahmet
dc.contributor.authorKharlamov, Evgeny
dc.date.accessioned2023-01-09T10:26:08Z
dc.date.available2023-01-09T10:26:08Z
dc.date.created2022-08-11T15:33:13Z
dc.date.issued2022
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2022, 13384 287-290.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/3041894
dc.description.abstractModern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data [1, 2] thanks to the technological advances of Industry 4.0 [1, 3], including development in perception, communication, processing, and actuation.en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.titleThe Data Value Quest: A Holistic Semantic Approach at Boschen_US
dc.title.alternativeThe Data Value Quest: A Holistic Semantic Approach at Boschen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThis article will not be available until 20 July 2023 due to publisher embargoen_US
dc.source.pagenumber287-290en_US
dc.source.volume13384en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-031-11609-4_42
dc.identifier.cristin2042514
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record