@incollection{iiasa14337,
          volume = {9978},
           month = {October},
          series = {Lecture Notes in Computer Science},
            note = {5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30- December 2, 2016, Proceedings},
       booktitle = {Integrated Uncertainty in Knowledge Modelling and Decision Making},
          editor = {V.M. Huyn and M. Inuiguchi and B. Le and B.N. Le and T. Denoeux},
           title = {Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework},
         address = {Cham, Switzerland},
       publisher = {Springer International Publishing},
            year = {2016},
             doi = {10.1007/978-3-319-49046-5\_38},
           pages = {447--456},
        keywords = {FDWA (Federated Data Warehousing Application); GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies); Global-scale data mart Greenhouse Gases (GHGs); IAM (Integrated Assess Model)},
             url = {https://pure.iiasa.ac.at/id/eprint/14337/},
            isbn = {978-3-319-49046-5},
            issn = {0302-9743},
        abstract = {Data warehouses become large in size, dynamic, and physically distributed. In this context, federated data warehousing approach is a promising solution for specifying, designing, deploying as well as managing data marts and their data cubes. In this paper, the Federated Data warehousing Application (FDWA) framework has been used to specify global-scale data marts. To proof of our concepts, a global-scale analytical tool, namely GAINS-IAM (integrated assess model) will be presented as a case study to analyze recent trends and future world emission scenarios.},
          author = {Ngo, N. S. and Nguyen, B. T.}
}