Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.
William Yang WangKathryn MazaitisNi LaoTom M. MitchellWilliam W. CohenPublished in: CoRR (2014)
Keyphrases
- probabilistic logic
- efficient inference and learning
- knowledge base
- probabilistic reasoning
- maximum entropy
- default reasoning
- abductive reasoning
- probabilistic knowledge
- knowledge representation
- first order logic
- logic programming
- description logics
- expert systems
- belief revision
- probability theory
- machine learning
- background knowledge
- data mining
- probabilistic inference
- nonmonotonic reasoning
- fuzzy logic
- bayesian networks
- decision making