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 querie

Koumenides, Christos

Omitola, Temitope

Salvadores, Manuel

Shadbolt, Nigel

Southampton (e-Prints Soton)

English

A  model for retrieval of sgml documents.

A belief network model for ir.

A multi-layered bayesian network model for structured document retrieval.

A retrieval model incorporating hypertext links.

A semantic bayesian network approach to retrieving information with intelligent conversational agents.

Bayesian network model for semi-structured document classi

Evaluating ad-hoc object retrieval.

Evaluation of an inference network-based retrieval model.

Introduction to Information Retrieval.

Local versus global link information in the web.

Probabilistic reasoning in intelligent systems: networks of plausible inference.

The computational complexity of probabilistic inference using bayesian belief networks.

Towards Semantic Search.

Combining link and content-based information in a Bayesian inference model for entity search