We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
The entity–relationship (ER) model, a powerful means for business and data modeling, needs to be enriched with new semantics as the real world changes and its understanding impr...
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
When merging data from various sources, it is often the case that small variations in data format and interpretation cause traditional functional dependencies (FDs) to be violated,...
Nick Koudas, Avishek Saha, Divesh Srivastava, Sure...
Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recomme...
Georgia Koutrika, Benjamin Bercovitz, Hector Garci...