Bayesian Description Logics
İsmail İlkan Ceylan, Rafael Peñaloza · BOA (University of Milano-Bicocca) · 2014
We present Bayesian Description Logics (BDLs): an extension of Description Logics (DLs) with contextual probabilities encoded in a Bayesian network (BN). Classical DL reasoning tasks are extended to consider also the contextual and probabilistic information in BDLs. A complexity analysis of these problems shows that, for propositionally closed DLs, this extension comes without cost, while for tractable DLs the complexity is aected by the cost of reasoning in the BN.