eprintid: 14337
rev_number: 8
eprint_status: archive
userid: 5
dir: disk0/00/01/43/37
datestamp: 2017-01-25 15:27:23
lastmod: 2021-08-27 17:28:29
status_changed: 2017-01-25 15:27:23
type: book_section
metadata_visibility: show
item_issues_count: 1
creators_name: Ngo, N.S.
creators_name: Nguyen, B.T.
creators_id: 1878
creators_orcid: 0000-0002-2260-8186
title: Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework
ispublished: pub
divisions: prog_air
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)
note: 5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30- December 2, 2016, Proceedings
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.
date: 2016-10-29
date_type: published
publisher: Springer International Publishing
id_number: 10.1007/978-3-319-49046-5_38
creators_browse_id: 216
creators_browse_id: 1340
full_text_status: none
series: Lecture Notes in Computer Science
volume: 9978
place_of_pub: Cham, Switzerland
pagerange: 447-456
refereed: TRUE
isbn: 978-3-319-49046-5
issn: 0302-9743
book_title: Integrated Uncertainty in Knowledge Modelling and Decision Making
editors_name: Huyn, V.M.
editors_name: Inuiguchi, M.
editors_name: Le, B.
editors_name: Le, B.N.
editors_name: Denoeux, T.
editors_id: 1565
coversheets_dirty: FALSE
fp7_type: info:eu-repo/semantics/bookPart
citation:   Ngo, N.S. & Nguyen, B.T. <https://pure.iiasa.ac.at/view/iiasa/216.html> ORCID: https://orcid.org/0000-0002-2260-8186 <https://orcid.org/0000-0002-2260-8186>  (2016).  Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework.    In:  Integrated Uncertainty in Knowledge Modelling and Decision Making. Eds. Huyn, V.M., Inuiguchi, M. <https://pure.iiasa.ac.at/view/iiasa/1340.html>, Le, B., Le, B.N., & Denoeux, T., pp. 447-456 Cham, Switzerland: Springer International Publishing.  ISBN 978-3-319-49046-5 10.1007/978-3-319-49046-5_38 <https://doi.org/10.1007/978-3-319-49046-5_38>.