<div class="csl-bib-body">
<div class="csl-entry">Kovalenko, O., & Euzenat, J. (2016). Semantic Matching of Engineering Data Structures. In S. Biffl & R. M. Sabou (Eds.), <i>Semantic Web for Intelligent Engineering Applications</i> (pp. 137–157). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_6</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/29331
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dc.description.abstract
An important element of implementing a data integration solution in
multi-disciplinary engineering settings, consists in identifying and defining relations
between the different engineering data models and data sets that need to be integrated.
The ontology matching field investigates methods and tools for discovering
relations between semantic data sources and representing them. In this chapter, we
look at ontology matching issues in the context of integrating engineering knowledge.
We first discuss what types of relations typically occur between engineering
objects inmulti-disciplinary engineering environments taking a use case in the power
plant engineering domain as a running example. We then overview available technologies
for mappings definition between ontologies, focusing on those currently
most widely used in practice and briefly discuss their capabilities for mapping representation
and potential processing. Finally, we illustrate how mappings in the sample
project in power plant engineering domain can be generated from the definitions in
the Expressive and Declarative Ontology Alignment Language (EDOAL).
en
dc.publisher
Springer International Publishing Switzerland
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dc.subject
Ontology matching ⋅
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dc.subject
Correspondence ⋅
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dc.subject
Alignment ⋅
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dc.subject
Mapping ⋅
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dc.subject
Ontology integration ⋅
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dc.subject
Data transformation ⋅
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dc.subject
Complex correspondences ⋅
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dc.subject
Ontology mapping languages ⋅
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dc.subject
Procedural and declarative languages ⋅
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dc.subject
EDO
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dc.title
Semantic Matching of Engineering Data Structures
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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
137
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dc.description.endpage
157
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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
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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