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Author Maragoudakis, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Bayesian methods ♦ Information retrieval ♦ Natural languages ♦ Feedback ♦ Data mining ♦ Databases ♦ Information filtering ♦ Artificial intelligence ♦ Systems engineering and theory ♦ Uncertainty
Abstract The present paper describes a Bayesian network approach to information retrieval (IR) from natural language texts in Greek. The network structure provides an intuitive representation of uncertainty relationships and the embedded conditional probability table is used by inference algorithms in an attempt to identify documents that are relevant to the user's needs, expressed in the form of Boolean queries. Our research has been directed in constructing a probabilistic IR framework that focus on assisting users perform ad-hoc retrieval of Greek documents from the domain of economics. Furthermore, users can integrate feedback regarding the relevance of the retrieved documents in an attempt to improve performance on upcoming requests. Towards these goals, we have developed the Bayesian network IR system and tested it on several web corpora with different application domains. We have developed two different approaches with regard to the structure: a simple one, where the structure is manually provided, and an automated one, where data mining is used in order to extract the network's structure. Results have depicted satisfactory performance in terms of precision-recall curves.
Description Author affiliation: Univ. of the Aegean, Mytilene (Maragoudakis, M.)
ISBN 9780769530154
ISSN 10823409
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-10-29
Publisher Place Greece
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 627.11 kB
Page Count 5
Starting Page 50
Ending Page 54


Source: IEEE Xplore Digital Library