Constraint-based data transformation for integration: an information system approach

Transforming data from different information systems is important and challenging for inte-gration purposes as data can be stored and represented in different data models in different infor-mation systems. In addition, when modeling data in the information systems, integrity constraints on the schemas are necessary for semantics and to maintain consistency purposes. Thus when schemas with conforming data are transformed from heterogeneous information systems, there is a need to transform and preserve semantics of data using constraints. Addressing this problem, we propose how data from different source information systems can be transformed to a global information system. We also review how constraints in data transformation are used in data integration for the purpose of integrating information systems. Our research is towards the han-dling of semantics using integrity constraints in data integration from heterogeneous information systems. 1