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A multi-layered Bayesian network model for structured document retrieval

Crestani, F. and de Campos, L. and Fernandez Luna, J. and Huete, J. (2004) A multi-layered Bayesian network model for structured document retrieval. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003, 2003-07-02 - 2003-07-05.

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New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents the design of an Information Retrieval system for multimedia structured documents, like for example journal articles, e-books, and MPEG-7 videos. The system is based on Bayesian Networks, since this class of mathematical models enable to represent and quantify the relations between the structural components of the document. Some preliminary results on the system implementation are also presented.