A key aspect of any data integration endeavor is determining the relationships between the source schemata and the target schema. This schema integration task must be tackled regar...
Peter Mork, Len Seligman, Arnon Rosenthal, Joel Ko...
In schema integration, schematic discrepancies occur when data in one database correspond to metadata in another. We explicitly declare the context that is the meta information re...
The success of schema integration in multidatabase systems relies heavily on the determination of complete and refined correspondence relationships between them. So, the candidate...
Database schema integration is significant not only in building multidatabase systems but also in data warehousing. Metadata, which define schemas, are normally involved in the su...
Integrating data sources is a general problem in many scenarios. The main problem is the heterogeneity between data sources which were created and developed separately. In the lit...
Heterogeneous Business Process Modeling (BPM) schemas have been a problem for business process management throughout the last couple of years. Although there are several standardiz...
Integration of data is required when accessing multiple databases within an organization or on the WWW. Schema integration is required for database interoperability, but it is curr...
Stefania Costantini, Andrea Formisano, Eugenio G. ...
We introduce a declarative approach for a coherent composition of autonomous databases. For this we use ID-logic, a formalism that extends classical logic with inductive definitio...
Bert Van Nuffelen, Ofer Arieli, Alvaro Corté...
Abstract. Schema integration is the activity of providing a unified representation of multiple data sources. The core problems in schema integration are: schema matching, i.e. the...
Matteo Magnani, Nikos Rizopoulos, Peter McBrien, D...
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...