Using Bayesian Networks as Retrieval Engines

In this paper we discuss Bayesian network implementation for retrieving documents in a text database. We participate in TREC-5 for ad-hoc task in category B. Several problems and possible solutions in implementing large scale text retrieval system using Bayesian network are discussed The main problems are the existence of loop and large number of parents per-node. The solutions suggested are that of intelligence node and virtual layer. Comparison with other Bayesian approach to text retrieval is also discussed. We shows that our approach gives more correct semantic to the retrieval model. 1. Introduction Uncertainty is present in almost every task that requires intelligent behaviour, such as planning, reasoning, problem solving, decision making and classification. Such uncertainty also exists in many aspects of text retrieval system. Obviously, the employment of uncertainty management techniques that appropriate to the specific needs of text retrieval systems has always been the cent..