Name
Abstract | ||
|---|---|---|
Data and models are two well established communities that are continuously contributing in new challenges in different research domains including cyberphysical systems (Yoo and Shon, 2016 [1]), cloud computing (Jararweh etal., 2016 [2]), service oriented applications, social networks (Yahyaoui etal., 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 etal., 2016), modelling methods (Ameur etal., 2014), storage systems and platforms (Liu etal., 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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.future.2016.11.019 | Future Generation Comp. Syst. |
Keywords | DocType | Volume |
Modelling,Ontologies,Formal methods,Engagement systems,Data warehouses,Clustering,Model and data stores | Journal | 68 |
Issue | ISSN | Citations |
C | 0167-739X | 1 |
PageRank | References | Authors |
0.35 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ladjel Bellatreche | 1 | 817 | 117.35 |
| Yamine Aït Ameur | 2 | 287 | 52.61 |
| George A. Papadopoulos | 3 | 1072 | 91.85 |