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A Multi-Layered Bayesian Network Model for Structured Document Retrieval
dc.contributor.author | Crestani, Fabio | |
dc.contributor.author | Campos Ibáñez, Luis Miguel | |
dc.contributor.author | Fernández Luna, Juan Manuel | |
dc.contributor.author | Huete Guadix, Juan Francisco | |
dc.date.accessioned | 2022-11-10T09:42:52Z | |
dc.date.available | 2022-11-10T09:42:52Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | 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] | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/77878 | |
dc.description.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. | es_ES |
dc.description.sponsorship | Spanish CICYT and FIS, under Projects TIC2000-1351 and PI021147 | es_ES |
dc.description.sponsorship | European Commission under the IST Project MIND (IST-2000-26061) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Inteligencia artificial | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.title | A Multi-Layered Bayesian Network Model for Structured Document Retrieval | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.type.hasVersion | AM | es_ES |