Record link: 
http://hdl.handle.net/20.500.12708/29331
-
Title: 
Semantic Matching of Engineering Data Structures
-
Citation: 
Kovalenko, O., & Euzenat, J. (2016). Semantic Matching of Engineering Data Structures. In S. Biffl & R. M. Sabou (Eds.), Semantic Web for Intelligent Engineering Applications (pp. 137–157). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_6
-
Publisher DOI: 
10.1007/978-3-319-41490-4_6
-
Publication Type: 
Book Contribution - Edited Volume Contribution
en
Authors: 
Kovalenko, Olga 
Euzenat, Jerome 
-
Organisational Unit: 
E194-01 - Forschungsbereich Information und Software Engineering 
-
Published in: 
Semantic Web for Intelligent Engineering Applications 
-
ISBN: 
978-3-319-41488-1
-
DOI of the book: 
10.1007/978-3-319-41490-4
-
Date (published): 
2016
-
Number of Pages: 
21
-
Publisher: 
Springer, Cham
-
Peer reviewed: 
Yes
-
Keywords: 
Ontology matching ⋅; Correspondence ⋅; Alignment ⋅; Mapping ⋅; Ontology integration ⋅; Data transformation ⋅; Complex correspondences ⋅; Ontology mapping languages ⋅; Procedural and declarative languages ⋅; EDO
-
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
Research Areas: 
Business Informatics: 50%
Distributed and Parallel Systems: 50%
-
Science Branch: 
Informatik
-
Appears in Collections:
Book Contribution

Show full item record

Page view(s)

245
checked on Nov 22, 2023

Google ScholarTM

Check