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Semantic service discovery in heterogeneous cyber-physical systems
Citation Link: https://doi.org/10.15480/882.3125
Publikationstyp
Conference Paper
Date Issued
2020-09-23
Sprache
English
Herausgeber*innen
TORE-DOI
TORE-URI
First published in
Number in series
29
Start Page
591
End Page
623
Citation
Hamburg International Conference of Logistics (HICL) 29: 591-623 (2020)
Contribution to Conference
Purpose: A primary requirement of Industry 4.0 and realization of Cyber-Physical Systems in production and logistics is the dynamic connection of physical and digital components. Service-oriented Architectures are a well established approach to meet this requirement. However, a service discovery using syntactic descriptions of ser-vices limits efficient application of a Service-oriented Architecture concerning the complexity and variability of existing processes. Methodology: A semantics based mechanism for service discovery can solve this limitation. It uses an ontology management system containing a domain specific on-tology and modelling specific Cyber-Physical Systems as individuals. SPARQL Proto-col And RDF Query Language (SPARQL) queries searching this ontology with context-related parameters. A use case demonstrates the mechanism by realizing an in-house transport request. Findings: A syntax based service discovery requires a definition and publishing of unique service names. However, complex Cyber-Physical Systems using multiple pa-rameters during service calls require disproportionate effort to implement and main-tain these names. A semantics based service discovery considers various parameters by using a specific ontology calling services by their properties without knowing the service name. Originality: A semantics based is decoupled from specific service implementations of components in a Cyber-Physical Systems. Therefore, an explicit specification of parameter configurations in service descriptions is not necessary. A Service-oriented Architecture can be implemented in complex systems without extensive adjust-ments or coordination mechanisms.
Subjects
Logistics
Industry 4.0
Digitalization
Innovation
Supply Chain Management
Artificial Intelligence
Data Science
DDC Class
330: Wirtschaft
Publication version
publishedVersion
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Name
Lober et al. (2020) - Semantic service discovery in heterogeneous cyber-physical systems.pdf
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1.18 MB
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