Big Data Challenges in Industrial Automation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207235" target="_blank" >RIV/68407700:21230/13:00207235 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-40090-2_27" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-40090-2_27</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40090-2_27" target="_blank" >10.1007/978-3-642-40090-2_27</a>
Alternative languages
Result language
angličtina
Original language name
Big Data Challenges in Industrial Automation
Original language description
Within the industrial domain including manufacturing a lot of various data is produced. For exploiting the data for lower level control as well as for the upper levels such as MES systems or virtual enterprises, the traditional business intelligence methods are becoming insufficient. At the same time, especially within internet companies, the Big Data paradigm is getting higher popularity due to the possibility of handling variety of large volume of quickly generated data, including their analysis and immediate actions. We discuss Big Data challenges in industrial automation domain, including describing and reviewing relevant applications and features. We pay special attention to the use of semantics and multi-agent systems. We also describe possible next steps for Big Data adoption within industrial automation and manufacturing.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems
ISBN
978-3-642-40089-6
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
305-316
Publisher name
Springer
Place of publication
Heidelberg
Event location
Prague
Event date
Aug 26, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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