Renee Miller
"Clio: Schema Mapping and Data Exchange"
5/30/2003: 10:30am - 12:00pm
10th Floor Conference Room
Abstract: We present a novel framework for creating mappings between any
combination of XML and relational data sources. In our approach,
attribute correspondences (the result of "schema matching") are
translated into a set of mappings that capture the semantics of the
source and target schemas (including their hierarchical organization
as well as their nested referential constraints). These mappings are
then translated into queries over the source schema(s) that produce
data satisfying the referential constraints and structure of the
target schema. These queries preserve the semantic relationships of
the source. The mapping algorithm is complete in that it produces
all
mappings that are consistent with the semantics of the schemas. We
have implemented the translation algorithm in Clio, a schema mapping
tool, and present our experience using Clio on life science data.
The mappings produced by Clio can be used both within data
integration where source data is queried through a virtual target
view
and for data exchange, including the exchange of data in P2P data
sharing applications. We discuss the often subtle difference between
the semantics of data integration and that of data exchange.
This is joint work with Ron Fagin, Mauricio Hernandez, Phokion
Kolaitis, Lucian Popa, and Yannis Velegrakis.
About Renee Miller: Renee J. Miller is an associate professor of computer science at the
University of Toronto. She received the 1997 Presidential Early
Career Award for Scientists and Engineers (PECASE), the highest honor
bestowed by the United States government on outstanding scientists
and
engineers beginning their careers. She is a recipient of the NSF
CAREER Award, the Premier's Research Excellence Award, and an IBM
Faculty Award. Her research interests are in the efficient,
effective
use of large volumes of complex, heterogeneous data. This interest
spans heterogeneous databases, data mining, and data warehousing.
She
received her PhD in Computer Science from the University of
Wisconsin,
Madison and bachelor's degrees in Mathematics and Cognitive Science
from MIT.
Last updated: Mon Jun 19 17:44:06 2006
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