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Models and data engineering
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DOI：10.1016/j.future.2016.11.019.png)
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Abstract
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 (Yoo and Shon, 2016 [1]), cloud computing (Jararweh et al., 2016 [2]), service oriented applications, social networks (Yahyaoui et al., 2013 [3]), big data (with its five Vs characteristics: Volume, Variety, Velocity, Veracity and Value) (Hsu, 2014), etc. The success story of data and models communities is mainly based on the availability of foundations relying on formal methods (Hassan et al., 2016), modelling methods (Ameur et al., 2014), storage systems and platforms (Liu et al., 2015 [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 Elsevier B.V. All rights reserved.
Keywords:
Modelling
Ontologies
Formal methods
Engagement systems
Data warehouses
Clustering
Model and data stores
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