Big und Smart Data - Herausforderungen in der Prozessindustrie

Von Jens Folmer; Iris Kirchen; Emanuel Trunzer; Birgit Vogel-Heuser; Thorsten Pötter; Markus Graube; Sebastian Heinze; Leon Urbas; Martin Atzmüller; David Amu

Big und Smart Data - Herausforderungen in der Prozessindustrie

Translated title of the contribution: Big and smart data - Challenges in the process industries

Von Jens Folmer, Iris Kirchen, Emanuel Trunzer, Birgit Vogel-Heuser, Thorsten Pötter, Markus Graube, Sebastian Heinze, Leon Urbas, Martin Atzmüller, David Amu

Chair of Automation and Information Systems

Research output: Contribution to specialist publication › Article

Abstract

In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

Translated title of the contribution	Big and smart data - Challenges in the process industries
Original language	German
Pages	68-78
Number of pages	11
Volume	66
No	2
Specialist publication	Gaswaerme International
State	Published - Apr 2017

Cite this

@misc{02fc0dd7a26a4520a60bf41d50cc08d5,

title = "Big und Smart Data - Herausforderungen in der Prozessindustrie",

abstract = "In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.",

author = "Folmer, {Von Jens} and Iris Kirchen and Emanuel Trunzer and Birgit Vogel-Heuser and Thorsten P{\"o}tter and Markus Graube and Sebastian Heinze and Leon Urbas and Martin Atzm{\"u}ller and David Amu",

year = "2017",

month = apr,

language = "Deutsch",

volume = "66",

pages = "68--78",

journal = "Gaswaerme International",

issn = "0020-9384",

publisher = "Vulkan Verlag GmbH",

}

TY - GEN

T1 - Big und Smart Data - Herausforderungen in der Prozessindustrie

AU - Folmer, Von Jens

AU - Kirchen, Iris

AU - Trunzer, Emanuel

AU - Vogel-Heuser, Birgit

AU - Pötter, Thorsten

AU - Graube, Markus

AU - Heinze, Sebastian

AU - Urbas, Leon

AU - Atzmüller, Martin

AU - Amu, David

PY - 2017/4

Y1 - 2017/4

N2 - In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

AB - In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

UR - http://www.scopus.com/inward/record.url?scp=85019743198&partnerID=8YFLogxK

M3 - Artikel

AN - SCOPUS:85019743198

SN - 0020-9384

VL - 66

SP - 68

EP - 78

JO - Gaswaerme International

JF - Gaswaerme International

ER -

Big und Smart Data - Herausforderungen in der Prozessindustrie

Abstract

Other files and links

Fingerprint

Cite this