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dc.contributor.authorCrestani, Fabio
dc.contributor.authorCampos Ibáñez, Luis Miguel 
dc.contributor.authorFernández Luna, Juan Manuel 
dc.contributor.authorHuete Guadix, Juan Francisco 
dc.date.accessioned2022-11-10T09:42:52Z
dc.date.available2022-11-10T09:42:52Z
dc.date.issued2003
dc.identifier.citationPublished version: Crestani, F... [et al.] (2003). A Multi-layered Bayesian Network Model for Structured Document Retrieval. In: Nielsen, T.D., Zhang, N.L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2003. Lecture Notes in Computer Science(), vol 2711. Springer, Berlin, Heidelberg. [https://doi.org/10.1007/978-3-540-45062-7_6]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/77878
dc.description.abstractNew 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.es_ES
dc.description.sponsorshipSpanish CICYT and FIS, under Projects TIC2000-1351 and PI021147es_ES
dc.description.sponsorshipEuropean Commission under the IST Project MIND (IST-2000-26061)es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectInteligencia artificial es_ES
dc.subjectArtificial intelligence es_ES
dc.titleA Multi-Layered Bayesian Network Model for Structured Document Retrievales_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.type.hasVersionAMes_ES


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