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» Privacy-preserving data integration and sharing
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DEBU
2010
127views more  DEBU 2010»
14 years 7 months ago
Provenance in ORCHESTRA
Sharing structured data today requires agreeing on a standard schema, then mapping and cleaning all of the data to achieve a single queriable mediated instance. However, for setti...
Todd J. Green, Grigoris Karvounarakis, Zachary G. ...
IJHCI
2008
83views more  IJHCI 2008»
14 years 9 months ago
A Framework and an Environment for Collaborative Analysis of User Experience
senting them at different levels of abstraction. This can make the analysis complex and unwieldy, requiring teams of analysts to manage it. A new approach to managing the complexit...
Youn-Kyung Lim, Yvonne Rogers
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 3 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
DATE
2004
IEEE
173views Hardware» more  DATE 2004»
15 years 1 months ago
Supporting Cache Coherence in Heterogeneous Multiprocessor Systems
In embedded system-on-a-chip (SoC) applications, the need for integrating heterogeneous processors in a single chip is increasing. An important issue in integrating heterogeneous ...
Taeweon Suh, Douglas M. Blough, Hsien-Hsin S. Lee
EXPERT
2008
119views more  EXPERT 2008»
14 years 10 months ago
Building a Pragmatic Semantic Web
One of the great benefits that Semantic Web (SW) technology offers is facilitating large scale integration and sharing of distributed data sources. Transferring this technology fro...
Harith Alani, Peter Chandler, Wendy Hall, Kieron O...