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.
|Number of pages||12|
|Publication status||Published - 7 Apr 2004|
|Event||Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003 - Aalborg, Denmark|
Duration: 2 Jul 2003 → 5 Jul 2003
|Conference||Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003|
|Period||2/07/03 → 5/07/03|
- information retreival
- Bayesian network model
- structured document retreival
Crestani, F., de Campos, L. M., Fernandez Luna, J. M., & Huete, J. F. (2004). A multi-layered Bayesian network model for structured document retrieval. 74-86. Paper presented at Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 7th European Conference, ECSQARU 2003, Aalborg, Denmark, .