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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, Aalborg, Denmark.

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Abstract

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.

Item type: Conference or Workshop Item (Paper)
ID code: 2497
Notes: Requires Template change to Contribution to journal › Conference Contribution: Lecture Notes in Computer Science
Keywords: information retreival, Bayesian network model, structured document retreival, Electronic computers. Computer science
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Depositing user: Strathprints Administrator
Date Deposited: 06 Feb 2007
Last modified: 23 Jul 2015 13:02
URI: http://strathprints.strath.ac.uk/id/eprint/2497

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