Some tasks in a dataspace (a loose collection of heterogeneous data sources) require integration of fine-grained data from diverse sources. This work is often done by end users kn...
David W. Archer, Lois M. L. Delcambre, David Maier
As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
Schema matching is a complex process focusing on matching between concepts describing the data in heterogeneous data sources. There is a shift from manual schema matching, done by...
: Nowadays, a central topic in database science is the need of an integrated access to large amounts of data provided by various information sources whose contents are strictly rel...
Component-based software engineering is a paradigm aiming at better ways to reuse existing code and to distribute work across teams. Integrating UI components developed with diffe...