dc.contributor.author | Zhou, Baifan | |
dc.contributor.author | Zheng, Zhuoxun | |
dc.contributor.author | Zhou, Dongzhuoran | |
dc.contributor.author | Cheng, Gong | |
dc.contributor.author | Jimenez-Ruiz, Ernesto | |
dc.contributor.author | Trung-Kien, Tran | |
dc.contributor.author | Stepanova, Daria | |
dc.contributor.author | Gad-Elrab, Mohamed H. | |
dc.contributor.author | Nikolov, Nikolay | |
dc.contributor.author | Soylu, Ahmet | |
dc.contributor.author | Kharlamov, Evgeny | |
dc.date.accessioned | 2023-01-09T10:26:08Z | |
dc.date.available | 2023-01-09T10:26:08Z | |
dc.date.created | 2022-08-11T15:33:13Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Lecture Notes in Computer Science (LNCS). 2022, 13384 287-290. | en_US |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://hdl.handle.net/11250/3041894 | |
dc.description.abstract | Modern 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.iso | eng | en_US |
dc.publisher | Springer Nature | en_US |
dc.title | The Data Value Quest: A Holistic Semantic Approach at Bosch | en_US |
dc.title.alternative | The Data Value Quest: A Holistic Semantic Approach at Bosch | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | This article will not be available until 20 July 2023 due to publisher embargo | en_US |
dc.source.pagenumber | 287-290 | en_US |
dc.source.volume | 13384 | en_US |
dc.source.journal | Lecture Notes in Computer Science (LNCS) | en_US |
dc.identifier.doi | 10.1007/978-3-031-11609-4_42 | |
dc.identifier.cristin | 2042514 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |