Bayesian Description Logics

İsmail İlkan Ceylanİsmail İlkan Ceylan, Rafael PeñalozaRafael Peñaloza

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İsmail İlkan Ceylan, Rafael Peñaloza
Bayesian Description Logics
In Meghyn Bienvenu and Magdalena Ortiz and Riccardo Rosati and Mantas Simkus, eds., Proceedings of the 27th International Workshop on Description Logics (DL 2014), volume 1193 of CEUR Workshop Proceedings, 447-458, 2014. CEUR-WS

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KurzfassungAbstract
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 affected by the cost of reasoning in the BN.
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@inproceedings{CP2014,
  author    = {{\.{I}}smail {\.{I}}lkan Ceylan and Rafael Pe{\~{n}}aloza},
  title     = {Bayesian Description Logics},
  editor    = {Meghyn Bienvenu and Magdalena Ortiz and Riccardo Rosati and
               Mantas Simkus},
  booktitle = {Proceedings of the 27th International Workshop on Description
               Logics (DL 2014)},
  series    = {CEUR Workshop Proceedings},
  volume    = {1193},
  publisher = {CEUR-WS},
  year      = {2014},
  pages     = {447-458}
}