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Erschienen in:
2011 | OriginalPaper | Buchkapitel
ELOG: A Probabilistic Reasoner for OWL EL
verfasst von : Jan Noessner, Mathias Niepert
Erschienen in: Web Reasoning and Rule Systems
Verlag: Springer Berlin Heidelberg
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Log-linear description logics are probabilistic logics combining several concepts and methods from the areas of knowledge representation and reasoning and statistical relational AI. We describe some of the implementation details of the log-linear reasoner ELOG. The reasoner employs database technology to dynamically transform inference problems to integer linear programs (ILP). In order to lower the size of the ILPs and reduce the complexity we employ a form of cutting plane inference during reasoning.