MASTRO-I: Efficient Integration of Relational Data through DL Ontologies

The goal of data integration is to provide a uniform access to a set of heterogeneous data sources, freeing the user from the knowledge about where the data are, how they are stored, and how they can be accessed. The problem of designing effective data integration solutions has been addressed by several research and development projects in the last years. One of the outcomes of this research work is a clear conceptual architecture for data integration1. According to this architecture [9], the main components of a data integration system are the global schema, the sources, and the mapping. Thus, a data integration system is seen as a triple 〈G,S,M〉, where: