<div class="csl-bib-body">
<div class="csl-entry">Biffl, S., Lüder, A., & Winkler, D. (2016). Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs. In S. Biffl & R. M. Sabou (Eds.), <i>Semantic Web Technologies for Intelligent Engineering Applications</i> (pp. 17–51). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_2</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/29335
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dc.description.abstract
This chapter introduces key concepts of the Industrie 4.0 vision,
focusing on variability issues in traditional and cyber-physical production systems
(CPPS) and their engineering processes. Four usage scenarios illustrate key challenges
of system engineers and managers in the transition from traditional to CPPS
engineering environments. We derive needs for semantic support from the usage
scenarios as a foundation for evaluating solution approaches and discuss Semantic
Web capabilities to address the identified multidisciplinary engineering needs. We
compare the strengths and limitations of Semantic Web capabilities to alternative
solution approaches in practice. Semantic Web technologies seem to be a very good
match for addressing the aspects of heterogeneity in engineering due to their
capability to integrate data intelligently and flexibly on a large scale. Engineers and
managers from engineering domains can use the scenarios to select and adopt
appropriate Semantic Web solutions in their own settings.
en
dc.publisher
Springer International Publishing Switzerland
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dc.subject
Engineering process ⋅
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dc.subject
Systems engineering ⋅
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dc.subject
Cyber-Physical production systems ⋅
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dc.subject
Semantic Web ⋅
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dc.subject
Data integration
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dc.title
Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs
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dc.type
Buchbeitrag
de
dc.type
Book Contribution
en
dc.relation.publication
Semantic Web Technologies 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
17
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dc.description.endpage
51
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dc.type.category
Edited Volume Contribution
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tuw.booktitle
Semantic Web Technologies for Intelligent Engineering Applications
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tuw.peerreviewed
true
-
tuw.relation.publisher
Springer
-
tuw.relation.publisherplace
Cham
-
tuw.researchTopic.id
I6
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Business Informatics
-
tuw.researchTopic.name
Distributed and Parallel Systems
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E194-01 - Forschungsbereich Information und Software Engineering
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tuw.publisher.doi
10.1007/978-3-319-41490-4_2
-
dc.description.numberOfPages
35
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tuw.editor.orcid
0000-0002-3413-7780
-
tuw.editor.orcid
0000-0001-9301-8418
-
wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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item.openairetype
Buchbeitrag
-
item.openairetype
Book Contribution
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item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.fulltext
no Fulltext
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item.grantfulltext
none
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crisitem.author.dept
E194-01 - Forschungsbereich Information und Software Engineering
-
crisitem.author.dept
E194 - Institut für Information Systems Engineering
-
crisitem.author.orcid
0000-0002-3413-7780
-
crisitem.author.orcid
0000-0002-4743-3124
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering