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CIKM
2005
Springer
13 years 10 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
SUM
2007
Springer
13 years 10 months ago
Managing Uncertainty in Schema Matcher Ensembles
Schema matching is the task of matching between concepts describing the meaning of data in various heterogeneous, distributed data sources. With many heuristics to choose from, sev...
Anan Marie, Avigdor Gal
ICML
2008
IEEE
14 years 5 months ago
Learning to learn implicit queries from gaze patterns
In the absence of explicit queries, an alternative is to try to infer users' interests from implicit feedback signals, such as clickstreams or eye tracking. The interests, fo...
Antti Ajanki, Kai Puolamäki, Samuel Kaski
SIGMOD
2010
ACM
231views Database» more  SIGMOD 2010»
13 years 9 months ago
Automatically incorporating new sources in keyword search-based data integration
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
SAC
2006
ACM
13 years 10 months ago
Automatic structured query transformation over distributed digital libraries
Structured data and complex schemas are becoming the main way to represent the information many Digital Libraries provide, thus impacting the services they offer. When searching i...
M. Elena Renda, Umberto Straccia