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» MEBN: A language for first-order Bayesian knowledge bases
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FLAIRS
2008
14 years 1 months ago
A First-Order Bayesian Tool for Probabilistic Ontologies
One of the major weaknesses of current research on the Semantic Web (SW) is the lack of proper means to represent and reason with uncertainty. A number of recent efforts from the ...
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N...
AI
2008
Springer
13 years 9 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
FOIS
2006
14 years 4 days ago
PR-OWL: A Framework for Probabilistic Ontologies
Abstract. Across a wide range of domains, there is an urgent need for a wellfounded approach to incorporating uncertain and incomplete knowledge into formal domain ontologies. Alth...
Paulo Cesar G. da Costa, Kathryn B. Laskey
IMCSIT
2010
13 years 8 months ago
Generation of First-Order Expressions from a Broad Coverage HPSG Grammar
This paper describes an application for computing first-order semantic representations of English texts. It is based on a combination of hybrid shallow-deep components arranged wit...
Ravi Coote, Andreas Wotzlaw
AAAI
2012
12 years 1 months ago
A Tractable First-Order Probabilistic Logic
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...
Pedro Domingos, William Austin Webb