Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach

Stefan Schabus, Johannes Scholz

Research output: Chapter in Book/Report/Conference proceedingChapter

LanguageEnglish
Title of host publicationData Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017
EditorsPeter Haber, Thomas Lampoltshammer, Manfred Mayr
Place of PublicationWiesbaden
PublisherSpringer Fachmedien Wiesbaden
Pages97-102
Number of pages6
ISBN (Print)978-3-658-19287-7
DOIs
StatusPublished - 2017

Cite this

Schabus, S., & Scholz, J. (2017). Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach. In P. Haber, T. Lampoltshammer, & M. Mayr (Eds.), Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017 (pp. 97-102). Wiesbaden: Springer Fachmedien Wiesbaden. DOI: 10.1007/978-3-658-19287-7_14

Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach. / Schabus, Stefan; Scholz, Johannes.

Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017. ed. / Peter Haber; Thomas Lampoltshammer; Manfred Mayr. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. p. 97-102.

Research output: Chapter in Book/Report/Conference proceedingChapter

Schabus, S & Scholz, J 2017, Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach. in P Haber, T Lampoltshammer & M Mayr (eds), Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017. Springer Fachmedien Wiesbaden, Wiesbaden, pp. 97-102. DOI: 10.1007/978-3-658-19287-7_14
Schabus S, Scholz J. Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach. In Haber P, Lampoltshammer T, Mayr M, editors, Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017. Wiesbaden: Springer Fachmedien Wiesbaden. 2017. p. 97-102. Available from, DOI: 10.1007/978-3-658-19287-7_14
Schabus, Stefan ; Scholz, Johannes. / Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach. Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017. editor / Peter Haber ; Thomas Lampoltshammer ; Manfred Mayr. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. pp. 97-102
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