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Author Campos, Luis M. De ♦ Fernández-Luna, Juan M. ♦ Huete, Juan F. ♦ Romero, Alfonso E.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Structured Document ♦ Xml Document ♦ Information Retrieval System ♦ Probabilistic Graphical Model ♦ Retrieval Point ♦ Bayesian Network-based Model
Description 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2006-01-01
Publisher Institution In: Proceedings of the Eleventh International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU