  Enterprise databases usually contain large and complex schemas. Authoring
complete schema mapping queries in this case requires deep knowledge about the
source and target schemas and is thereby very challenging to programmers.
Sample-driven schema mapping allows the user to describe the schema mapping
using data records. However, real data records are still harder to specify than
other useful insights about the desired schema mapping the user might have. In
this project, we develop a schema mapping system, PRISM, that enables
multiresolution schema mapping. The end user is not limited to providing
high-resolution constraints like exact data records but may also provide
constraints of various resolutions, like incomplete data records, value ranges,
and data types. This new interaction paradigm gives the user more flexibility
in describing the desired schema mapping. This demonstration showcases how to
use PRISM for schema mapping in a real database.
