Modelling of Interaction in Interweaving Systems as Ontology Mapping Adaption
Zusammenfassung
Interweaving Systems (IWS) are systems that have not been designed to cooperate, but can influence each other at runtine through a shared environment. In this paper, we present a general approach that enables IWS to gain an explicit view of the shared environment. The approach is based on ontology alignment and model driven techniques. The core idea is to build a Directory Ontology that shows what systems can know about their environment, and local Connector Ontologies that organize information routing between systems and connect these via ontology alignments. Changes are addressed using ontology mapping adaption. This approach is presented using an application example from the area of traffic control systems. The key benefit of the approach is that it allows supporting and sustaining data integration in Interweaving Systems using explicit and domain-independent rules.
- Vollständige Referenz
- BibTeX
Jurisch, M. & Igler, B.,
(2021).
Modelling of Interaction in Interweaving Systems as Ontology Mapping Adaption.
In:
Reussner, R. H., Koziolek, A. & Heinrich, R.
(Hrsg.),
INFORMATIK 2020.
Gesellschaft für Informatik, Bonn.
(S. 939-946).
DOI: 10.18420/inf2020_86
@inproceedings{mci/Jurisch2021,
author = {Jurisch, Matthias AND Igler, Bodo},
title = {Modelling of Interaction in Interweaving Systems as Ontology Mapping Adaption},
booktitle = {INFORMATIK 2020},
year = {2021},
editor = {Reussner, Ralf H. AND Koziolek, Anne AND Heinrich, Robert} ,
pages = { 939-946 } ,
doi = { 10.18420/inf2020_86 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Jurisch, Matthias AND Igler, Bodo},
title = {Modelling of Interaction in Interweaving Systems as Ontology Mapping Adaption},
booktitle = {INFORMATIK 2020},
year = {2021},
editor = {Reussner, Ralf H. AND Koziolek, Anne AND Heinrich, Robert} ,
pages = { 939-946 } ,
doi = { 10.18420/inf2020_86 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
DOI: 10.18420/inf2020_86
ISBN: 978-3-88579-701-2
ISSN: 1617-5468
Datum: 2021
Sprache:
(en)
(en)
