Log-Linear Description Logics
Niepert, Mathias (University of Mannheim) | Noessner, Jan (University of Mannheim) | Stuckenschmidt, Heiner (University of Mannheim)
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.
Jul-19-2011
- Country:
- Africa > Sudan (0.04)
- Europe
- Germany (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science > Problem Solving (0.70)
- Representation & Reasoning
- Uncertainty (1.00)
- Ontologies (0.98)
- Description Logic (0.95)
- Logic & Formal Reasoning (0.68)
- Constraint-Based Reasoning (0.68)
- Machine Learning > Learning Graphical Models
- Undirected Networks > Markov Models (0.47)
- Information Technology > Artificial Intelligence