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» Bayesian Inductive Logic Programming
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SEMWEB
2009
Springer
15 years 4 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 9 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
CIKM
2007
Springer
15 years 3 months ago
Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ENTCS
2002
144views more  ENTCS 2002»
14 years 9 months ago
Logics and Multi-agents: towards a new symbolic model of cognition
Abstract The last edition of CLIMA, held in 2001 in Paphos (Cyprus) ended with a panel session on the role of Computational Logic (CL) in Multi-Agent Systems (MAS). Two dimensions ...
Paolo Torroni
ICFP
2012
ACM
12 years 12 months ago
Transporting functions across ornaments
Programming with dependent types is a blessing and a curse. It is a blessing to be able to bake invariants into the definition of datatypes: we can finally write correct-by-cons...
Pierre-Évariste Dagand, Conor McBride