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Probabilistic semantics

One of the most severe limitations of the Semantic Web is its inability to deal with uncertain knowledge. Probabilistic Semantics extends the current… Expand
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Classical semantics for abstract argumentation frameworks are usually defined in terms of extensions or, more recently, labelings… Expand
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Highly Cited
2012
Highly Cited
2012
Abstract interpretation has been widely used for verifying properties of computer systems. Here, we present a way to extend this… Expand
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Highly Cited
2010
Highly Cited
2010
Frequent subgraph mining has been extensively studied on certain graph data. However, uncertainties are inherently accompanied… Expand
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Highly Cited
2010
Highly Cited
2010
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or… Expand
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Highly Cited
2007
Highly Cited
2007
The probabilistic nearest neighbour (PNN) method for pattern recognition was introduced to overcome a number of perceived… Expand
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Highly Cited
2000
Highly Cited
2000
We present a probability-sensitive confidentiality specification-a form of probabilistic noninterference-for a small multi… Expand
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Highly Cited
2000
Highly Cited
2000
Following earlier models, we lift standard deterministic and nondeterministic semantics of imperative programs to probabilistic… Expand
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Highly Cited
1999
Highly Cited
1999
Probabilistic models provide a sound and coherent foundation for dealing with the noise and uncertainty encountered in most real… Expand
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Highly Cited
1997
Highly Cited
1997
The authors have proposed in their previous works to view a set of default pieces of information of the form, "generally, from αi… Expand
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Highly Cited
1990
Highly Cited
1990
Cost-based abduction attempts to find the best explanation for a set of facts by finding a minimal cost proof for the facts. The… Expand
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