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Ontologies are beneficial due to their potential to formally define models, to allow reasoning about semantic models, and to automate transformations at all layers.
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Automated transformations are defined and implemented in order to produce, analyze, statically verify and model-check programs obtained from high-level models.
Our Box Cox and curvature automated transformations are based on a Python script, implemented as an easy-to-use script tool in ArcGIS.
The ultimate goal of this development is to have a fully automated transformation between models built in the two platforms.
In this context, this article explores the possible advantages of Model Driven Engineering (MDE) and shows an automated transformation from the feature model to the architecture model.
In our proposal, we introduce a reusable AK transformation language for supporting the automated transformation of reusable AK knowledge to component-and-connector models, the architectural design view used most commonly today.
The purpose of the REMIS migration was both to demonstrate the feasibility and assess and realize benefits (economic, schedule, and qualitative) of using automated transformation to create a GCSS-AF resident version of the REMIS application.
To meet their special needs, goMobi includes a powerful suite of tools which allows developers to control the automated transformation of desktop website content to mobile-friendly content as well as accessing HTML metatags for site items, along with a mobile/desktop switcher and advanced device detection capabilities.
This platform provides semantically annotated services and experiments with automated transformation from other semi-structured data sources and a set of tools that enables a community of developers and experimenters to develop and modify ontologies which constitute the foundation of the platform.
The pilot focused on modernizing aged applications that no longer met NMCI security requirements, and successfully demonstrated a more cost-effective automated transformation process alternative for functional area managers (FAMs) and central design agencies (CDAs), to use for modernizing workplace desktop applications than the conventional manual process.
We would like to thank Kirill Tarassov for writing macros in ImageJ for image analysis, Stevo Radinovic for performing automated transformation of yeast strains and Sebastian Lemieux and Christian Landry for assistance with statistical analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com