Complexity classifications of boolean constraint satisfaction problems
Complexity classifications of boolean constraint satisfaction problems
Machine Learning
The Description Logic Handbook
The Description Logic Handbook
Probabilistic description logic programs
International Journal of Approximate Reasoning
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Managing uncertainty and vagueness in description logics for the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Collective semantic role labelling with Markov logic
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Sound and efficient inference with probabilistic and deterministic dependencies
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The independent choice logic and beyond
Probabilistic inductive logic programming
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
P-CLASSIC: a tractable probablistic description logic
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Efficient inferencing for OWL EL
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
Probabilistic-logical web data integration
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
ELOG: a probabilistic reasoner for OWL EL
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
Coherent top-k ontology alignment for OWL EL
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
DC proposal: ontology learning from noisy linked data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Towards distributed MCMC inference in probabilistic knowledge bases
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
A probabilistic ontological framework for the recognition of multilevel human activities
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Statistical relational data integration for information extraction
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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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.