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SEMWEB
2009
Springer
13 years 11 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...
ESWS
2008
Springer
13 years 6 months ago
Pronto: A Non-monotonic Probabilistic Description Logic Reasoner
Abstract. The demonstration presents Pronto - a prototype of a nonmonotonic probabilistic reasoner for very expressive Description Logics. Pronto is built on top of the OWL DL reas...
Pavel Klinov
AI
2008
Springer
13 years 4 months ago
Expressive probabilistic description logics
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Thomas Lukasiewicz
ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 4 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
DLOG
2011
12 years 8 months ago
On the Problem of Weighted Max-DL-SAT and its Application to Image Labeling
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab