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» Uncertainty in Knowledge Provenance
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AI
2008
Springer
13 years 10 months ago
Expressive probabilistic description logics
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Thomas Lukasiewicz
SEMWEB
2005
Springer
14 years 3 months ago
PR-OWL: A Bayesian Ontology Language for the Semantic Web
This paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty. This not only h...
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kennet...
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
RECOMB
2008
Springer
14 years 10 months ago
Fast and Accurate Alignment of Multiple Protein Networks
Comparative analysis of protein networks has proven to be a powerful approach for elucidating network structure and predicting protein function and interaction. A fundamental chall...
Maxim Kalaev, Vineet Bafna, Roded Sharan
LFCS
2009
Springer
14 years 4 months ago
Fuzzy Description Logic Reasoning Using a Fixpoint Algorithm
We present FixIt(ALC), a novel procedure for deciding knowledge base (KB) satisfiability in the Fuzzy Description Logic (FDL) ALC. FixIt(ALC) does not search for tree-structured m...
Uwe Keller, Stijn Heymans