PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Bayesian Networks for Structured Information retrieval
Benjamin Piwowarski, Trang Vu and Patrick Gallinari
In: Learning Methods for Text Understanding and Mining, 26 - 29 January 2004, Grenoble, France.

Abstract

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.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Bayesian networks, INEX, XML, Focused retrieval, Structured retrieval
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:31
Deposited By:Steve Gunn
Deposited On:12 May 2004