cs.uiuc.edu

Tuning Schema Matching Software using Synthetic Scenarios

Authors: 
Sayyadian, Mayssam; Lee, Yoonkyong; Doan, AnHai; Rosenthal, Arnon
Year: 
2005
Venue: 
VLDB 2005: 994-1005

Most recent schema matching systems assemble multiple components, each employing a
particular matching technique. The domain
user must then tune the system: select the
right component to be executed and correctly
adjust their numerous \"knobs\" (e.g., thresholds, formula coefficients). Tuning is skill- and
time-intensive, but (as we show) without it the
matching accuracy is significantly inferior.
We describe eTuner, an approach to automatically tune schema matching systems. Given
a schema S, we match S against synthetic
schemas, for which the ground truth mapping

iMAP: Discovering Complex Semantic Matches between Database Schemas

Authors: 
Dhamankar, R.; Lee, Y.; Doan, A.; Halevy, A.; Domingos, P.
Year: 
2004
Venue: 
SIGMOD, 2004

Corpus-based Schema Matching

Authors: 
Madhavan, J.; Bernstein, P.; Doan, A.; Halevy, A.
Year: 
2005
Venue: 
ICDE, 2005

Automatic Complex Schema Matching across Web Query Interfaces: A Correlation Mining Approach

Authors: 
He, B.; Chang, K. C.-C.
Year: 
2006
Venue: 
ACM TODS, 2006

Semantic Integration Research in the Database Community: A Brief Survey

Authors: 
Doan, A.; Halevy, A.
Year: 
2005
Venue: 
AI Magazine, Special Issue on Semantic Integration, 2005

Semantic integration has been a long-standing challenge
for the database community. It has received
steady attention over the past two decades, and has
now become a prominent area of database research.
In this article, we first review database applications
that require semantic integration, and discuss the difficulties underlying the integration process. We then
describe recent progress and identify open research issues.
We will focus in particular on schema matching, a
topic that has received much attention in the database
community, but will also discuss data matching (e.g.,

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