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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
13 years 10 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
FAST
2009
13 years 2 months ago
A Framework for Fine-grained Data Integration and Curation, with Provenance, in a Dataspace
Some tasks in a dataspace (a loose collection of heterogeneous data sources) require integration of fine-grained data from diverse sources. This work is often done by end users kn...
David W. Archer, Lois M. L. Delcambre, David Maier
KYOTODL
2000
122views more  KYOTODL 2000»
13 years 6 months ago
Federation Services for Heterogeneous Digital Libraries Accessing Cooperative and Non-Cooperative Sources
Today, bibliographical information is kept in a variety of digital libraries available on the Internet. The integration of bibliographical data is considered as one of the most im...
Martin Endig, Michael Höding, Gunter Saake, K...
CISIS
2009
IEEE
13 years 11 months ago
SAMOA - A Semi-Automated Ontology Alignment Method for Systems Integration in Safety-Critical Environments
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
JBI
2007
104views Bioinformatics» more  JBI 2007»
13 years 4 months ago
Anatomy of data integration
Producing reliable information is the ultimate goal of data processing. The ocean of data created with the advances of science and technologies calls for integration of data comin...
Olga Brazhnik, John F. Jones