Combining link and content-based information in a Bayesian inference model for entity search
Christos L. Koumenides, N. R. Shadbolt · 2012
An architectural model of a Bayesian inference network to support entity search in semantic knowledge bases is presented. The model supports the explicit combination of primitive data type and object-level semantics under a single computational framework. A flexible query model is supported capable to reason with the availability of simple semantics in queries.