Bayesian Networks for Structured Information Retrieval

We present a bayesian framework for XML document retrieval. This framework allows us to consider content only. We perform the retrieval task using inference in our network. Our model can adapt to a specific corpus through parameter learning and uses a grammar to speed up the retrieval process in big or distributed databases. We also experimented list filtering to avoid element overlap in the retrieved element list.