A Multi-layered Bayesian Network Model for Structured Document Retrieval

A Multi-layered Bayesian Network Model for Structured Document Retrieval

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...

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Hauptverfasser: Crestani, Fabio, de Campos, Luis M., Fernández-Luna, Juan M., Huete, Juan F.
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Bayesian Network
Computer science
control theory
systems
Exact sciences and technology
Information Retrieval
Information Retrieval System
Information systems. Data bases
Learning and adaptive systems
Memory organisation. Data processing
Retrieval Model
Software
Structural Unit
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Beschreibung
Zusammenfassung: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-45062-7_6