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Journal of Intelligent Manufacturing

Erschienen in:

24.02.2014

Data type definition and handling for supporting interoperability across organizational borders

verfasst von: Dávid Karnok, Zsolt Kemény, Elisabeth Ilie-Zudor, László Monostori

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 1/2016

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Abstract

Organisational heterogeneity—especially in networks where new members may join at any time—requires ongoing actions to maintain interoperability. On the level of data interoperability, this highlights the importance of various aspects of data model and dataflow design, as well as handling of data at run-time. The latter is certain to require automated means of data model negotiation, and—while today’s design processes are far from fully automated—such means can leverage productivity and support verification procedures in data modelling and dataflow design as well. The paper presents results in one possible approach to data type definition and manipulation, through the example of the ADVANCE dataflow engine and its type-related features. Aside from an XML-based type system, type inference algorithms are presented which are employed both during design and flow execution.

Vorheriger Artikel SysPEM: Toward a consistent and unified system process engineering metamodel

Nächster Artikel QoS ontology for service selection and reuse

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Titel: Data type definition and handling for supporting interoperability across organizational borders
verfasst von: Dávid Karnok
Zsolt Kemény
Elisabeth Ilie-Zudor
László Monostori
Publikationsdatum: 24.02.2014
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 1/2016
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-014-0884-9

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