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» Ontology-Driven Semantic Matches between Database Schemas
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VLDB
2007
ACM
126views Database» more  VLDB 2007»
14 years 10 months ago
Querying Complex Structured Databases
Correctly generating a structured query (e.g., an XQuery or a SQL query) requires the user to have a full understanding of the database schema, which can be a daunting task. Alter...
Cong Yu, H. V. Jagadish
SIGMOD
2004
ACM
189views Database» more  SIGMOD 2004»
14 years 10 months ago
A Holistic Paradigm for Large Scale Schema Matching
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang
ICDE
2002
IEEE
121views Database» more  ICDE 2002»
14 years 11 months ago
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching...
Sergey Melnik, Hector Garcia-Molina, Erhard Rahm
ER
1993
Springer
163views Database» more  ER 1993»
14 years 1 months ago
Using Conceptual Graph Theory to Support Schema Integration
Two major problems in schema integration are to identify correspondences between different conceptual schemas and to verify that the proposed correspondences are consistent with th...
Paul Johannesson
KDD
2005
ACM
182views Data Mining» more  KDD 2005»
14 years 10 months ago
Making holistic schema matching robust: an ensemble approach
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...
Bin He, Kevin Chen-Chuan Chang