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

Stefan Schabus, Johannes Scholz

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Buch/BerichtForschungBegutachtung

Originalspracheenglisch
TitelData Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017
Redakteure/-innenPeter Haber, Thomas Lampoltshammer, Manfred Mayr
ErscheinungsortWiesbaden
Herausgeber (Verlag)Springer Fachmedien Wiesbaden
Seiten97-102
Seitenumfang6
ISBN (Print)978-3-658-19287-7
DOIs
PublikationsstatusVeröffentlicht - 2017

Dies zitieren

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 (Hrsg.), Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017 (S. 97-102). Wiesbaden: Springer Fachmedien Wiesbaden. https://doi.org/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. Hrsg. / Peter Haber; Thomas Lampoltshammer; Manfred Mayr. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. S. 97-102.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Buch/BerichtForschungBegutachtung

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 (Hrsg.), Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017. Springer Fachmedien Wiesbaden, Wiesbaden, S. 97-102. https://doi.org/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, Hrsg., Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017. Wiesbaden: Springer Fachmedien Wiesbaden. 2017. S. 97-102 https://doi.org/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. Hrsg. / Peter Haber ; Thomas Lampoltshammer ; Manfred Mayr. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. S. 97-102
@inbook{0bc106a63a9f486dbb9a7aed225f3021,
title = "Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach",
author = "Stefan Schabus and Johannes Scholz",
year = "2017",
doi = "10.1007/978-3-658-19287-7_14",
language = "English",
isbn = "978-3-658-19287-7",
pages = "97--102",
editor = "Peter Haber and Thomas Lampoltshammer and Manfred Mayr",
booktitle = "Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017",
publisher = "Springer Fachmedien Wiesbaden",
address = "Germany",

}

TY - CHAP

T1 - Semantically Annotated Manufacturing Data to support Decision Making in Industry 4.0: A Use-Case Driven Approach

AU - Schabus, Stefan

AU - Scholz, Johannes

PY - 2017

Y1 - 2017

U2 - 10.1007/978-3-658-19287-7_14

DO - 10.1007/978-3-658-19287-7_14

M3 - Chapter

SN - 978-3-658-19287-7

SP - 97

EP - 102

BT - Data Science -- Analytics and Applications: Proceedings of the 1st International Data Science Conference -- iDSC2017

A2 - Haber, Peter

A2 - Lampoltshammer, Thomas

A2 - Mayr, Manfred

PB - Springer Fachmedien Wiesbaden

CY - Wiesbaden

ER -