A New Approach to Integrate Heterogeneous Databases: The Mediated Data Integration Architecture
Faculty of Computing, Health and Science
School of Computer and Information Science
Information required for decision making is generally scattered across disparate data sources. To gain competitive advantage, it is extremely important for executives to be able to obtain one unique view of information in an accurate and timely manner. The heterogeneities occur when integrating such data sources which were designed independently. MeDInt – the Mediated Data Integration architecture is introduced to solve this problem. The mediator and wrappers are employed as the middle layer between application and data sources to homogenise heterogeneous data sources. Both the mediator and wrappers are well supported by the Mediated Data Model (MDM), an object-oriented based data model which can describe or represent heterogeneous data schematically and semantically. The MeDInt architecture has been tested and evaluated, and the results are promising.