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WEBI
2010
Springer
13 years 9 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
SIGMOD
2001
ACM
92views Database» more  SIGMOD 2001»
14 years 11 months ago
Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach
AnHai Doan, Pedro Domingos, Alon Y. Halevy
KDD
2002
ACM
96views Data Mining» more  KDD 2002»
14 years 12 months ago
A theoretical framework for learning from a pool of disparate data sources
Shai Ben-David, Johannes Gehrke, Reba Schuller