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Erschienen in: Software and Systems Modeling 1/2018

05.04.2016 | Theme Section Paper

An integrated multi-level modeling approach for industrial-scale data interoperability

verfasst von: Muzaffar Igamberdiev, Georg Grossmann, Matt Selway, Markus Stumptner

Erschienen in: Software and Systems Modeling | Ausgabe 1/2018

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Abstract

Multi-level modeling is currently regaining attention in the database and software engineering community with different emerging proposals and implementations. One driver behind this trend is the need to reduce model complexity, a crucial aspect in a time of analytics in Big Data that deal with complex heterogeneous data structures. So far no standard exists for multi-level modeling. Therefore, different formalization approaches have been proposed to address multi-level modeling and verification in different frameworks and tools. In this article, we present an approach that integrates the formalization, implementation, querying, and verification of multi-level models. The approach has been evaluated in an open-source F-Logic implementation and applied in a large-scale data interoperability project in the oil and gas industry. The outcomes show that the framework is adaptable to industry standards, reduces the complexity of specifications, and supports the verification of standards from a software engineering point of view.

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Fußnoten
1
MULTI - International Workshop on Multi-Level Modelling, http://​goo.​gl/​EaVok1.
 
3
PCA promotes the development of open specifications to be used as standards for enabling the interoperability of data, software, and related matters. https://​www.​posccaesar.​org/​.
 
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Metadaten
Titel
An integrated multi-level modeling approach for industrial-scale data interoperability
verfasst von
Muzaffar Igamberdiev
Georg Grossmann
Matt Selway
Markus Stumptner
Publikationsdatum
05.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 1/2018
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-016-0520-6

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