A multi-layered Bayesian network model for structured document retrieval

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

Preview

Text. Filename: strathprints002497.pdf Accepted Author Manuscript Download (240kB)| Preview

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.

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	2497
  Dates:	Date Event 7 April 2004 Published
  Notes:	Requires Template change to Contribution to journal › Conference Contribution: Lecture Notes in 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:	09 Apr 2024 04:50
  URI:	https://strathprints.strath.ac.uk/id/eprint/2497