URL:
http://csdl.computer.org/dl/proceedings/icde/2005/2285/00/22851263.pdf
Technologies for overcoming heterogeneities between
autonomous data sources are key in the emerging
networked world. Our doctoral research investigates technologies
for alleviating structural heterogeneity between
relational data sources. At the heart of structural heterogeneity
is the data mapping problem. The data mapping
problem is to discover effective mappings between structured
data sources. These mappings are the basic “glue”
for facilitating large-scale ad-hoc information sharing
between autonomous peers in a dynamic environment.
Automating their discovery is one of the fundamental unsolved
challenges for data interoperability. Our research on
solutions to the data mapping problem has two main components:
(1) a general algorithmic approach to automating
the discovery of mappings and (2) a general formal approach
to understanding the data mapping problem. We
outline our progress on each of these fronts and discuss directions
for future research.
