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» An Algebraic Framework for Schema Matching
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CIKM
2005
Springer
13 years 11 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
ER
2010
Springer
164views Database» more  ER 2010»
13 years 3 months ago
Querying Databases with Taxonomies
Traditional information search in which queries are posed against a known and rigid schema over a structured database is shifting towards a Web scenario in which exposed schemas ar...
Davide Martinenghi, Riccardo Torlone
SIGMOD
2003
ACM
166views Database» more  SIGMOD 2003»
14 years 5 months ago
Statistical Schema Matching across Web Query Interfaces
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
KDD
2005
ACM
182views Data Mining» more  KDD 2005»
14 years 5 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
SEMWEB
2004
Springer
13 years 10 months ago
METEOR-S Web Service Annotation Framework with Machine Learning Classification
Researchers have recognized the need for more expressive descriptions of Web services. Most approaches have suggested using ontologies to either describe the Web services or to an...
Nicole Oldham, Christopher Thomas, Amit P. Sheth, ...