A probabilistic terminological logic for modelling information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Logical settings for concept-learning
Artificial Intelligence
Advances in Inductive Logic Programming
Advances in Inductive Logic Programming
Learning Logical Definitions from Relations
Machine Learning
Hybrid Learning of Ontology Classes
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
DL-FOIL Concept Learning in Description Logics
ILP '08 Proceedings of the 18th international conference on Inductive Logic Programming
Loopy Propagation in a Probabilistic Description Logic
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Probabilistic inductive logic programming
Probabilistic inductive logic programming
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Learning probabilistic description logics: a framework and algorithms
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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This paper investigates learning methods where the target language is the recently proposed probabilistic description logic CR ALC. We start with an inductive logic programming algorithm that learns logical constructs; we then develop an algorithm that learns probabilistic constructs by searching for conditioning concepts, using examples given as interpretations. Issues on learning from entailments are also examined, and practical examples are discussed.