Modeling Multidimensional Data Cubes Based on MDA (Model-Driven Architecture)
Truong Dinh Huy, Thanh Binh Nguyen, Ngo Sy Ngoc · Advances in intelligent systems and computing · 2016
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.