Schema Evolution publication categorizer

We demonstrate a prototype of the relational data mapping module
of MIQIS, a formal framework for investigating information flow
in peer-to-peer database management systems. Data maps constitute
effective mappings between structured data sources. These
mappings are the ‘glue’ for facilitating large scale ad-hoc information
sharing between autonomous peers, and automating their
discovery is one of the fundamental unsolved challenges for information
interoperability and sharing. Our approach to automating
data map discovery utilizes heuristic search within a space delineated
by basic relational transformation operators. A novelty of our
approach is that these operators include data to metadata transformations
(and vice versa). This approach leverages new perspectives
on the data mapping problem, and generalizes previous approaches
such as token-based schema matching.