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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Type theory has played an important role in specifying the formal con- nection between syntactic structure and semantic… 
Highly Cited
2015
Highly Cited
2015
Language is used to communicate ideas. Ideas are mental tools for coping with a complex and uncertain world. Thus human… 
Highly Cited
2012
Highly Cited
2012
Classical semantics for abstract argumentation frameworks are usually defined in terms of extensions or, more recently, labelings… 
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… 
Highly Cited
2010
Highly Cited
2010
Frequent subgraph mining has been extensively studied on certain graph data. However, uncertainties are inherently accompanied… 
Highly Cited
2003
Highly Cited
2003
This book contains the first collection of papers addressing recent developments in the design of information retrieval systems… 
Highly Cited
2000
Highly Cited
2000
We present a probability-sensitive confidentiality specification-a form of probabilistic noninterference-for a small multi… 
Highly Cited
1999
Highly Cited
1999
The authors have proposed in their previous works to view a set of default pieces of information of the form, "generally, from αi… 
Highly Cited
1990
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…