Faculty of Computing, Health and Science
School of Computer and Information Science
To interoperate data sources which differ structurally and semantically, particular problems occur, for example, problems of changing schemas in data sources will affect the integrated schema. In this paper, we propose the mediated integration architecture (MedInt), which employs mediation and wrapping techniques as the main components for the integration of heterogeneous systems. With MedInt, a mediator acts as an intermediate medium transforming queries to sub-queries, integrating result data and resolving conflicts. Wrappers then transform sub-queries to specific local queries so that each local system is able to understand the queries.