An Approach to Resolve Data Model Heterogeneities in Multiple Data Sources

To gain a competitive advantage, it is imperative for executives to be able to obtain one unique view of information, normally scattered across disparate data sources, in an accurate and timely manner. To interoperate data sources which differ structurally and semantically, particular problems occur, for example, problems of changing schema in data sources affect the integrated schema. This paper presents an approach to resolve data model heterogeneities in databases and legacy systems through mediation and wrapping techniques. The system is well supported by the mediated data model (MDM), a semantically-rich data model which can describe and represent heterogeneous data schematically and semantically