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132
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WWW
2005
ACM
16 years 4 months ago
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
Without the proliferation of formal semantic annotations, the Semantic Web is certainly doomed to failure. In earlier work we presented a new paradigm to avoid this: the 'Sel...
Günter Ladwig, Philipp Cimiano, Steffen Staab
132
Voted
WWW
2003
ACM
16 years 4 months ago
On deep annotation
The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies cor...
Siegfried Handschuh, Steffen Staab, Raphael Volz
129
Voted
CAV
2009
Springer
133views Hardware» more  CAV 2009»
16 years 4 months ago
Cardinality Abstraction for Declarative Networking Applications
ity Abstraction for Declarative Networking Applications Juan A. Navarro P?erez, Andrey Rybalchenko, and Atul Singh Max Planck Institute for Software Systems (MPI-SWS) Declarative N...
Andrey Rybalchenko, Atul Singh, Juan Antonio Navar...
137
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 4 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 4 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...
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