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Capturing industrial information models with ontologies and constraints

Abstract:

This paper describes the outcomes of an ongoing collaboration between Siemens and the University of Oxford, with the goal of facilitating the design of ontologies and their deployment in applications. Ontologies are often used in industry to capture the conceptual information models underpinning applications. We start by describing the role that such models play in two use cases in the manufacturing and energy production sectors. Then, we discuss the formalisation of information models using ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-46547-0_30

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Grant:
Optique [24] (FP7-ICT-318338
Publisher:
Springer, Cham Publisher's website
Volume:
9982
Pages:
325-343
Series:
Lecture Notes in Computer Science
Host title:
International Semantic Web Conference: ISWC 2016: The Semantic Web – ISWC 2016
Publication date:
2016-01-01
Acceptance date:
2016-07-01
DOI:
ISSN:
0302-9743
Source identifiers:
635445
ISBN:
9783319465463
Pubs id:
pubs:635445
UUID:
uuid:6a39c38e-6c7e-4907-ab41-e2f729715dfb
Local pid:
pubs:635445
Deposit date:
2016-08-12

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