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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.
2015
2015
This paper explores theoretical issues in constructing an adequate probabilistic semantics for natural language. Two approaches… 
2014
2014
We consider directed (feedback) cycles in Bayesian belief networks, taking into consideration their interaction with successors… 
2011
2011
The recently introduced Datalog+/- family of ontology languages is especially useful for representing and reasoning over… 
2009
2009
A significant part of current research on (inductive) logic programming deals with probabilistic logical models. Over the last… 
2008
2008
Probabilistic relational models (PRMs) are a rich representation language for structured statistical models. They combine a frame… 
2004
2004
Ground penetrating radar (GPR) systems are widely used to inspect underground structures. We have collected GPR images to detect… 
2001
2001
In this paper we prove that all the existing conditional event algebras embed into a three-valued extension of temporal logic of… 
1990
1990
This paper presents a formal relationship for probability Ken Satoh Generation Computer Technology Minato-ku, Tokyo 108, Japan… 
1987
1987
What's in an influence link? To answer this foundational question, I propose a semantics for qualitative influences: a positively… 
1981
1981
Of course, since those days logicians have developed new methods, in particular set-theoretic semantics for the treatment of…