@misc{10481/77878,
year = {2003},
url = {https://hdl.handle.net/10481/77878},
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 de-
sign of an Information Retrieval system for multimedia structured doc-
uments, like for example journal articles, e-books, and MPEG-7 videos.
The system is based on Bayesian Networks, since this class of mathe-
matical 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.},
organization = {Spanish CICYT
and FIS, under Projects TIC2000-1351 and PI021147},
organization = {European Commission under the IST Project MIND (IST-2000-26061)},
publisher = {Springer},
keywords = {Inteligencia artificial},
keywords = {Artificial intelligence},
title = {A Multi-Layered Bayesian Network Model for Structured Document Retrieval},
author = {Crestani, Fabio and Campos Ibáñez, Luis Miguel and Fernández Luna, Juan Manuel and Huete Guadix, Juan Francisco},
}