Thanks to its increasing availability, electronic literature has become a potential source of
information for the development of complex Bayesian networks (BN), when human expertise …

In this paper a new Monte-Carlo algorithm for the propagation of probabilities in Bayesian
networks is proposed. This algorithm has two stages: in the first one an approximate …

Bayesian networks, which nowadays constitute the dominant approach for managing
probability within the field of Artificial Intelligence, have been applied to Information Retrieval …

Ontology is the best way for representing the useful information. In this paper, we have
planned to develop a model which utilizes multiple ontologies. From those ontologies …

This paper presents an information retrieval model based on the Bayesian network
formalism. The topology of the network (representing the dependence relationships between …

We review the application of Bayesian belief networks to several information retrieval
problems, showing that they provide an effective and flexible framework for modeling distinct …

The retrieval performance of an information retrieval system usually increases when it uses
the relationships among the terms contained in a given document collection. However, this …

On-line information services have become widespread in the Web nowadays. However,
Web users are non-specialized and have a great variety of interests. Interfaces for Web …

Structured or fielded metadata is the basis for many digital library services, including
searching and browsing. Yet, little is known about the impact of using structure on the …

We developed a Bayesian network coding scheme for annotating biomedical content in
layperson-oriented clinical genetics documents. The coding scheme supports the …