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  4. Semantically Enriched Industry Data & Information Modelling: A feasibility study on Shop-floor Incident Recognition
 
conference paper

Semantically Enriched Industry Data & Information Modelling: A feasibility study on Shop-floor Incident Recognition

Tsolakis, A.
•
Arena, D.
•
Krinidis, S.
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2016
2016 IEEE 14Th International Conference On Industrial Informatics (Indin)
14th IEEE International Conference on Industrial Informatics (INDIN)

Knowledge modelling at industrial level consists an importunate activity nowadays due to the ceaseless advances in technologies and standards applied as well as the extensive amount of unrelated real-time and historical data at shop-floor level. A Common Interface Data Exchange Model (CIDEM) is hereby introduced towards unifying continuously produced data from heterogeneous and distributed information sources - on different levels and granularities - into a shared vocabulary that can unobtrusively communicate with industrial standards and protocols (i.e. B2MML, gbXML, MIMOSA). For further enhancing the information model a conceptual definition is employed leading to a semantically enriched model which enables more understandable high level knowledge diffusion. This model has been applied to various industrial applications, one of the most important being industrial safety, through incident recognition.

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Type
conference paper
DOI
10.1109/INDIN.2016.7819210
Web of Science ID

WOS:000393551200072

Author(s)
Tsolakis, A.
Arena, D.
Krinidis, S.
Perdikakis, A.
Ioannidis, D.
Kyritsis, Dimitrios  
Tzovaras, D.
Date Issued

2016

Publisher

IEEE

Publisher place

New York

Published in
2016 IEEE 14Th International Conference On Industrial Informatics (Indin)
ISBN of the book

978-1-5090-2870-2

Total of pages

5

Series title/Series vol.

IEEE International Conference on Industrial Informatics INDIN

Start page

487

End page

491

Subjects

Information Models

•

BIM

•

Semantics

•

Semantic Models

•

Industrial Informatics

•

Shop-floor

•

incident recognition

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LICP  
Event nameEvent placeEvent date
14th IEEE International Conference on Industrial Informatics (INDIN)

Poitiers, FRANCE

JUL 19-21, 2016

Available on Infoscience
March 27, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/136031
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