A multi-layered Bayesian network model for structured document retrieval

Fabio Crestani, Luis M. de Campos, Juan M. Fernandez Luna, Juan F. Huete

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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.
Original languageEnglish
Pages74-86
Number of pages12
Publication statusPublished - 7 Apr 2004
EventSymbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003 - Aalborg, Denmark
Duration: 2 Jul 20035 Jul 2003

Conference

ConferenceSymbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003
CityAalborg, Denmark
Period2/07/035/07/03

Keywords

  • information retreival
  • Bayesian network model
  • structured document retreival

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    Crestani, F., de Campos, L. M., Fernandez Luna, J. M., & Huete, J. F. (2004). A multi-layered Bayesian network model for structured document retrieval. 74-86. Paper presented at Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003, Aalborg, Denmark, .