Log-Linear Description Logics
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2153-2157.
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.
@inproceedings{ijcai2011p359,
title = {Log-Linear Description Logics},
author = {Niepert, Mathias and Noessner, Jan and Stuckenschmidt, Heiner},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2153--2157},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-359},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-359},
}
TY - CPAPER TI - Log-Linear Description Logics AU - Niepert, Mathias AU - Noessner, Jan AU - Stuckenschmidt, Heiner T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2153 EP - 2157 DO - 10.5591/978-1-57735-516-8/IJCAI11-359 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-359 ER -Copied
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