Proceedings

Log-Linear Description Logics

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2153-2157.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-359

Abstract

Log-linear description logics are a family of probabilistic logics integrating various concepts and methods from the areas of knowledge representation and reasoning and statistical relational AI. We define the syntax and semantics of log-linear description logics, describe a convenient representation as sets of first-order formulas, and discuss computational and algorithmic aspects of probabilistic queries in the language. The paper concludes with an experimental evaluation of an implementation of a log-linear DL reasoner.

Mathias Niepert, Jan Noessner, and Heiner Stuckenschmidt. 2011. Log-Linear Description Logics. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2153–2157. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-359
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