<div class="csl-bib-body">
<div class="csl-entry">Sindelar, R., & Novak, P. (2016). Ontology-Based Simulation Design and Integration. In S. Biffl & M. Sabou (Eds.), <i>Semantic Web for Intelligent Engineering Applications</i> (pp. 257–277). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_10</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/29328
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dc.description.abstract
Strict requirements on the quality of industrial plant operation together
with environmental limits and the pursuit of decreasing energy consumption bring
more complexity in automation systems. Simulations and models of industrial
processes can be utilized in all the phases of an automation system´s life cycle and
they can be used for process design as well as for optimal plant operation. Present
methods of design and integration of simulations tasks are inefficient and error-prone
because almost all pieces of information and knowledge are handled manually. In
this chapter, we describe a simulation framework where all configurations, simulation
tasks, and scenarios are obtained from a common knowledge base. The knowledge
base is implemented utilizing an ontology for defining a data model to represent
real-world concepts, different engineering knowledge as well as descriptions
and relations to other domains. Ontologies allow the capturing of structural changes
in simulations and evolving simulation scenarios more easily than using standard
relational databases. Natively ontologies are used to represent the knowledge shared
between different projects and systems. The simulation framework provides tools
for efficient integration of data and simulations by exploiting the advantages of formalized
knowledge. Two processes utilizing Semantic Web technologies within the
simulation framework are presented at the end of this chapter.
en
dc.publisher
Springer International Publishing Switzerland
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dc.subject
Simulation design ⋅
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dc.subject
SCADA ⋅
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dc.subject
Model-driven design ⋅
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dc.subject
Complex simulations ⋅
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dc.subject
Knowledge integration
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dc.title
Ontology-Based Simulation Design and Integration
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dc.type
Buchbeitrag
de
dc.type
Book Contribution
en
dc.relation.publication
Semantic Web for Intelligent Engineering Applications
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dc.relation.isbn
978-3-319-41488-1
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dc.relation.doi
10.1007/978-3-319-41490-4
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dc.description.startpage
257
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dc.description.endpage
277
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dc.type.category
Edited Volume Contribution
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tuw.booktitle
Semantic Web for Intelligent Engineering Applications
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tuw.peerreviewed
true
-
tuw.relation.publisher
Springer
-
tuw.relation.publisherplace
Cham
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tuw.researchTopic.id
I6
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Business Informatics
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tuw.researchTopic.name
Distributed and Parallel Systems
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tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
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tuw.publication.orgunit
E194-01 - Forschungsbereich Information und Software Engineering