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Models and data engineering
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DOI：10.1016/j.future.2016.11.017.png)
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摘要
En 中文
Data and models are two well established communities that are continuously contributing in new challenges in different research domains including cyber-physical systems [1], cloud computing [2], service oriented applications, social networks [3], big data (with its five Vs characteristics: Volume, Variety, Velocity, Veracity and Value) [4], etc. The success story of data and models communities is mainly based on the availability of foundations relying on formal methods [5], modelling methods [6], storage systems and platforms [7], advanced optimization structures, benchmarking, scalability, etc. These foundations are usually associated with tools and commercial and academic systems. The selected papers for this special issue address a variety of topics and concerns in models and data fields, including advanced databases, engagement systems, embedded and complex systems, etc. (C) 2016 Published by Elsevier B.V.
Keyword:
Modelling
Ontologies
Formal methods
Engagement systems
Data warehouses
Clustering
Model and data stores
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