Modeling multidimensional data cubes based on MDA (Model-Driven Architecture)

Huy TD, Nguyen TB, & Ngoc NS (2016). Modeling multidimensional data cubes based on MDA (Model-Driven Architecture). In: Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, 453 . pp. 85-97 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-38884-7 DOI:10.1007/978-3-319-38884-7_7.

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Abstract

As data warehouse (DWH) expands its scope increasingly in more and more areas, its application development processes still have to face significant challenges in semantically and systematically integrating heterogeneous sources into data warehouse. In that context, we propose an ontology-based multi dimensional data model, aiming at populating data warehousing systems with reliable, timely, and accurate information. Furthermore, in our approach, MDA (Model-Driven Architecture) principles and AndroMDA system are utilized to specify as well as to generate source code from UML (Unified Modeling Language) class diagrams, which are used to model the ontology-based multi dimensional data model in the context of object oriented concepts. As a result, this approach enables interoperability among a class of DWH applications, which are designed and developed based on our proposed solution.

Item Type: Book Section
Uncontrolled Keywords: API (Application Programming Interface;) Data Warehouses (DWH); MDA (Model-Driven Architecture); Andromda OLAP (Online Analytical Processing); UML (Unified Modeling Language)
Research Programs: Air Quality & Greenhouse Gases (AIR)
Depositing User: Romeo Molina
Date Deposited: 13 May 2016 11:48
Last Modified: 13 May 2016 11:48
URI: http://pure.iiasa.ac.at/13207

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