Garnata: An Information Retrieval System for Structured Documents based on Probabilistic Graphical Models

Luis M. de Campos; J.M. Fernández-Luna; J.F. Huete; Alfonso E. Romero

Garnata: An Information Retrieval System for Structured Documents based on Probabilistic Graphical Models

Luis M. de Campos, J.M. Fernández-Luna, J.F. Huete, Alfonso E. Romero

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, Garnata, an information retrieval system for XML documents is presented. This system is specifically designed for implementing Bayesian network-based models for structured documents. We show its architecture and performance from the indexing and the retrieval points of view, coming to the conclusion that the system is flexible and fast.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006)
Place of Publication	Paris (France)
Pages	1024-1031
Number of pages	8
Publication status	Published - 2006

Cite this

@inproceedings{cce8e6d5cdd04a978d9fd08bd253b706,

title = "Garnata: An Information Retrieval System for Structured Documents based on Probabilistic Graphical Models",

abstract = "In this paper, Garnata, an information retrieval system for XML documents is presented. This system is specifically designed for implementing Bayesian network-based models for structured documents. We show its architecture and performance from the indexing and the retrieval points of view, coming to the conclusion that the system is flexible and fast.",

author = "{de Campos}, {Luis M.} and J.M. Fern{\'a}ndez-Luna and J.F. Huete and Romero, {Alfonso E.}",

year = "2006",

language = "English",

isbn = "88-87242-54-2",

pages = "1024--1031",

booktitle = "Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006)",

}

Garnata: An Information Retrieval System for Structured Documents based on Probabilistic Graphical Models. / de Campos, Luis M.; Fernández-Luna, J.M.; Huete, J.F. et al.
Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006). Paris (France), 2006. p. 1024-1031.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Garnata: An Information Retrieval System for Structured Documents based on Probabilistic Graphical Models

AU - de Campos, Luis M.

AU - Fernández-Luna, J.M.

AU - Huete, J.F.

AU - Romero, Alfonso E.

PY - 2006

Y1 - 2006

N2 - In this paper, Garnata, an information retrieval system for XML documents is presented. This system is specifically designed for implementing Bayesian network-based models for structured documents. We show its architecture and performance from the indexing and the retrieval points of view, coming to the conclusion that the system is flexible and fast.

AB - In this paper, Garnata, an information retrieval system for XML documents is presented. This system is specifically designed for implementing Bayesian network-based models for structured documents. We show its architecture and performance from the indexing and the retrieval points of view, coming to the conclusion that the system is flexible and fast.

M3 - Conference contribution

SN - 88-87242-54-2

SP - 1024

EP - 1031

BT - Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006)

CY - Paris (France)

ER -