Understanding Data Heterogeneity in the Context of Cyber-Physical Systems Integration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00306604" target="_blank" >RIV/68407700:21730/16:00306604 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/abstract/document/7524742/" target="_blank" >http://ieeexplore.ieee.org/abstract/document/7524742/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TII.2016.2596101" target="_blank" >10.1109/TII.2016.2596101</a>
Alternative languages
Result language
angličtina
Original language name
Understanding Data Heterogeneity in the Context of Cyber-Physical Systems Integration
Original language description
The current gradual adoption of the Industry 4.0 is the research trend that includes more intensive utilization of Cyber-Physical Systems. The computerization of manufacturing will bring many advantages but it is needed to face the heterogeneity problem during an integration of various CPSs for enabling this progress. In this paper we describe various types of heterogeneity with emphasis to a semantic heterogeneity. The Cyber-Physical Systems integration problem is classified into two different challenges. Next, we introduce the approach and the implementation of the semantic heterogeneity reduction with the focus on using Semantic Web technologies for a data integration. Then, the Big Data approach is described for facilitating the implementation. Finally, the possible solution is demonstrated on our proposed Semantic Big Data Historian.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN
1551-3203
e-ISSN
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Volume of the periodical
99
Issue of the periodical within the volume
PP
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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