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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%2F17%3A00306604" target="_blank" >RIV/68407700:21730/17:00306604 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/TII.2016.2596101" target="_blank" >https://doi.org/10.1109/TII.2016.2596101</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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • 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

    1941-0050

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    660-667

  • UT code for WoS article

    000399961500025

  • EID of the result in the Scopus database

    2-s2.0-85018169091