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An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics

Kirmse, Andreas (Corresponding author)^RWTH* ; Kraus, Vadim (Corresponding author)^RWTH* ; Hoffmann, Max (Corresponding author)^RWTH* ; Meisen, Tobias (Corresponding author)^RWTH*

In
ICEIS 2018 : proceedings of the 20th International Conference on Enterprise Information Systems : Funchal, Madeira, Portugal, March 21-24, 2018 / sponsored by INSTICC - Institute for Systems and Technologies of Information, Control and Communication ; edited by Slimane Hammoudi, Michal Smialek, Olivier Camp and Joaquim Filipe. - Volume 1, Seiten/Artikel-Nr: 175-182

2018

Konferenz/Event:20. International Conference on Enterprise Information Systems , Funchal , Portugal , ICEIS 2018 , 2018-03-21 - 2018-03-24

Impressum[Setúbal, Portugal] : SCITEPRESS - Science and Technology Publications, Lda.

Umfang175-182

ISBN978-989-758-298-1

Online
DOI: 10.5220/0006776701750182
10.5220/0006776701750182

Einrichtungen

1. Lehrstuhl für Informationsmanagement im Maschinenbau (416910)
2. Juniorprofessur für Interoperabilität von Simulationen (420830)

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85047753841

Interne Identnummern
RWTH-2018-223797
Datensatz-ID: 722819

Beteiligte Länder
Germany