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Knowledge Representation

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Knowledge Representation

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Research Frontiers in Probabilistic Logic and Uncertainty Handling

Integration of probabilistic inference mechanisms with logical knowledge representation to manage uncertain and incomplete information.

Probabilistic Graphical Models in Heterogeneous Knowledge Networks
Uncertainty Quantification Across Multi-Modal Knowledge Graphs
Markov Logic Networks and Relational Inference at Scale
Credibility Assessment in Conflicting Probabilistic Knowledge Bases
Causal Reasoning Under Epistemic and Aleatoric Uncertainty
Probabilistic Description Logics for Ambiguous Domain Knowledge
Belief Revision in Non-Monotonic Probabilistic Knowledge Systems
Semantic Uncertainty in Neuro-Symbolic Knowledge Integration
Probabilistic Answer Set Programming for Incomplete Information
Uncertainty Propagation in Federated Knowledge Representation

All Knowledge Representation PhD categories