Enabling Semantics within Industry 4.0

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00321156" target="_blank" >RIV/68407700:21730/17:00321156 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-64635-0_4" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-64635-0_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-64635-0_4" target="_blank" >10.1007/978-3-319-64635-0_4</a>

Result language
angličtina
Original language name
Enabling Semantics within Industry 4.0
Original language description
Manufacturing faces increasing requirements from customers which causes the need of exploiting emerging technologies and trends for preserving competitive advantages. The apriori announced fourth industrial revolution (also known as Industry 4.0) is represented mainly by an employment of Internet technologies into industry. The essential requirement is the proper understanding of given CPS (one of the key component of Industry 4.0) data models together with a utilization of knowledge coming from various systems across a factory as well as an external data sources. The suitable solution for data integration problem is an employment of Semantic Web Technologies and the model description in ontologies. However, one of the obstacles to the wider use of the Semantic Web technologies including the use in the industrial automation domain is mainly insufficient performance of available triplestores. Thus, on so called Semantic Big Data Historian use case we are proposing the usage of state of the art distributed data storage. We discuss the approach to data storing and describe our proposed hybrid data model which is suitable for representing time series (sensor measurements) with added semantics. Our results demonstrate a possible way to allow higher performance distributed analysis of data from industrial domain.
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Industrial Applications of Holonic and Multi-Agent Systems
ISBN
978-3-319-64634-3
ISSN
0302-9743
e-ISSN
—
Number of pages
14
Pages from-to
39-52
Publisher name
Springer
Place of publication
Cham
Event location
Lyon
Event date
Sep 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000452464200004

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