DC Proposal: Graphical Models and Probabilistic Reasoning for Generating Linked Data from Tables.
Varish MulwadPublished in: ISWC (2) (2011)
Keyphrases
- linked data
- probabilistic reasoning
- graphical models
- probabilistic inference
- bayesian networks
- belief networks
- belief propagation
- approximate inference
- semantic web
- random variables
- probabilistic model
- probabilistic logic
- probabilistic graphical models
- markov networks
- structure learning
- conditional random fields
- data integration
- markov logic networks
- databases
- structured data
- bayesian belief networks
- constraint satisfaction
- database
- data sources
- probability distribution
- relational models
- statistical relational learning
- conditional independence
- knowledge representation
- conditional probabilities
- higher order
- dynamic programming
- optimal solution
- distributed systems
- probabilistic networks
- maximum likelihood
- first order logic