Big Data Semantics in Industry 4.0

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00239939" target="_blank" >RIV/68407700:21730/15:00239939 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-22867-9_19" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-22867-9_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-22867-9_19" target="_blank" >10.1007/978-3-319-22867-9_19</a>

Result language
angličtina
Original language name
Big Data Semantics in Industry 4.0
Original language description
The Industry 4.0 is a vision that includes connecting more intensively physical systems with their virtual counterparts in computers. This computerization of manufacturing will bring many advantages, including allowing data gathering, integration and analysis in the scale not seen earlier. In this paper we describe our Semantic Big Data Historian that is intended to handle large volumes of heterogeneous data gathered from distributed data sources. We describe the approach and implementation with a special focus on using Semantic Web technologies for integrating the data.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 7th International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2015)
ISBN
978-3-319-22866-2
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
217-229
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Valencia
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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