Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
Data migration is one of the key operations in many enterprise data integration projects. While there are standard and well established tools for data migration, the enterprises r...
B. Gopi Krishna, E. Vengal Reddy, K. Jagadamba, Sr...
Data integration over multiple heterogeneous data sources has become increasingly important for modern applications. The integrated data is usually stored in materialized views fo...
Songting Chen, Jun Chen, Xin Zhang, Elke A. Runden...
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Many users and applications require the integration of semi-structured data from autonomous, heterogeneous Web sources. Over the last years mediator systems have emerged that use d...