A Multi-Layered Bayesian Network Model for Structured Document Retrieval Crestani, Fabio Campos Ibáñez, Luis Miguel Fernández Luna, Juan Manuel Huete Guadix, Juan Francisco Inteligencia artificial Artificial intelligence 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. 2022-11-10T09:42:52Z 2022-11-10T09:42:52Z 2003 info:eu-repo/semantics/article Published 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] https://hdl.handle.net/10481/77878 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional Springer