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ICDE
2008
IEEE
136views Database» more  ICDE 2008»
14 years 6 months ago
Validating Multi-column Schema Matchings by Type
Validation of multi-column schema matchings is essential for successful database integration. This task is especially difficult when the databases to be integrated contain little o...
Bing Tian Dai, Nick Koudas, Divesh Srivastava, Ant...
JODS
2006
135views Data Mining» more  JODS 2006»
13 years 5 months ago
Managing Uncertainty in Schema Matching with Top-K Schema Mappings
In this paper, we propose to extend current practice in schema matching with the simultaneous use of top-K schema mappings rather than a single best mapping. This is a natural ext...
Avigdor Gal
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
14 years 6 months ago
Adapting a Generic Match Algorithm to Align Ontologies of Human Anatomy
The difficulty inherent in schema matching has led to the development of several generic match algorithms. This paper describes how we adapted general approaches to the specific t...
Peter Mork, Philip A. Bernstein
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A toward Framework for Generic Uncertainty Management
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Ernesto Damiani, Paolo Ceravolo, Marcello Leida
SIGMOD
2005
ACM
197views Database» more  SIGMOD 2005»
14 years 5 months ago
Schema and ontology matching with COMA++
We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA+...
David Aumueller, Hong Hai Do, Sabine Massmann, Erh...