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Computer Science - Database Management & Information Retrieval | Datenbank-Spektrum

Datenbank-Spektrum

Datenbank-Spektrum

Zeitschrift für Datenbanktechnologien und Information Retrieval

Managing editors: T. Härder; R. Schenkel

ISSN: 1618-2162 (gedruckte Version)

Zeitschriften Nr. 13222

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Seit dem 10. Jahrgang bei Springer!
Datenbank-Spektrum ist das offizielle Organ der Fachgruppe Datenbanken und Information Retrieval der Gesellschaft für Informatik (GI) e.V. Die Zeitschrift widmet sich den Themen Datenbanken, Datenbankanwendungen und Information Retrieval. Sie vermittelt fundiertes Wissen über die aktuellen Standards und Technologien, deren Einsatz und ihre kommerzielle Relevanz.

Neben Grundlagenbeiträgen, Tutorials, wissenschaftlichen Fachbeiträgen, aktuellen Forschungsergebnissen finden sich in jeder Ausgabe auch Informationen über die Aktivitäten der Fachgruppen, zu Konferenzen und Workshops und über neue Produkte und Bücher. Ein renommiertes Herausgebergremium aus Hochschule und Industrie gewährleistet die Qualität und fachliche Kompetenz der Beiträge.

Künftige Schwerpunktthemen:

Best Workshop Papers of BTW 2017

This special issue of the “Datenbank-Spektrum” is dedicated to the Best Papers of the Workshops running at the BTW 2017 at the University of Stuttgart. The selected Workshop contributions should be extended to match the format of regular DASP papers.

Paper format: 8–10 pages, double column
Selection of the Best Papers by the Workshop chairs and the guest editor: April 15th, 2017
Deadline for submissions: June 1st, 2017

Guest editor:
Theo Härder, University of Kaiserslautern
haerder@cs.uni-kl.de

 Data Processing in Industrie 4.0

The Data Processing paradigm undergoes several changes recently. In the vision of Industrie 4.0 assets become smart and more autonomous. This leads to new application areas for analytics and data processing in general. We invite submissions on original research as well as overview articles covering topics from the following non-exclusive list:

● Industrie 4.0 Reference Architectures

● Sensor Data Streaming

● Sensor Data Management

● Digital Twin Technology

● Analytics in Industrie 4.0

● Edge Analytics/Fog Computing

● Sensor Data Analytics

● Advanced Analytics

Expected size of the paper: 8–10 pages (double-column).
Contributions either in German or in English are welcome.
Deadline for submissions: Oct. 1st, 2017
Issue delivery: DASP-1-2018 (March 2018)
Guest editors:
Bernhard Mitschang, Universität Stuttgart
Bernhard.Mitschang@ipvs.uni-stuttgart.de

Big Data Analytics and Exploration

We are looking for contributions from researchers and practitioners in the above described context, which may be submitted in German or in English.
Important dates :

Deadline for submissions : February 1st, 2018
Issue Delivery : DASP-2-2018 (July 2018)

Paper format : 8-10 pages, double column (cf. the author guidelines at www.atenbank-spektrum.de)

Guest Editors :

Sebastian Michel, TU Kaiserslautern, smichel@cs.uni-kl.de
Rainer Gemulla, Universität Mannheim, rgemulla@uni-mannheim.de

Verwandte Fachbereiche » Datenbankmanagement - Rechnernetze - Security and Cryptology - Wirtschaftsinformatik

Abstracts publiziert in / Indexiert in 

INSPEC, Google Scholar, Academic OneFile, DBLP, OCLC, Summon by ProQuest

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    Datenbank-Spektrum ist das offizielle Organ der Fachgruppen Datenbanken und Information Retrieval der Gesellschaft für Informatik (GI) e.V. Die Zeitschrift widmet sich den Themen Datenbanken, Datenbankanwendungen und Information Retrieval. Sie vermittelt fundiertes Wissen über die aktuellen Standards und Technologien, deren Einsatz und ihre kommerzielle Relevanz.

    Neben Grundlagenbeiträgen, Tutorials, wissenschaftlichen Fachbeiträgen, aktuellen Forschungsergebnissen finden sich in jeder Ausgabe auch Informationen über die Aktivitäten der Fachgruppen, zu Konferenzen und Workshops und über neue Produkte und Bücher. Ein renommiertes Herausgebergremium aus Hochschule und Industrie gewährleistet die Qualität und fachliche Kompetenz der Beiträge.

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