Filtering multilingual Web content using fuzzy logic and self-organizing maps

Authors:
Rowena Chau;Chung-Hsing Yeh
Affiliations:
Monash University, School of Business Systems, Faculty of Information Technology, 3800, Clayton, Victoria, Australia;Monash University, School of Business Systems, Faculty of Information Technology, 3800, Clayton, Victoria, Australia
Venue:
Neural Computing and Applications
Year:
2004

Citing 0
Cited 4

Distributed multi-lingual content based text mining DML - CBTM

ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
A hybrid system for concept-based web usage mining

International Journal of Hybrid Intelligent Systems
Semantic Web Usage Mining by a Concept-Based Approach for Off-line Web Site Enhancements

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Conceptual classification to improve a web site content

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Quantified Score

Hi-index	0.00

Visualization

Abstract

Effective multilingual information filtering is required to alleviate users’ burden of information overload resulting from the increasing flood of multilingual textual content available extensively over the World-Wide Web. This paper proposes a content-based self-organizing approach to multilingual information filtering using fuzzy logic and the self-organizing map. This approach screens and evaluates multilingual documents based on their semantic contents. Correlated multilingual documents are disseminated according to their corresponding themes or topics, thus enabling language-independent content-based information access efficiently and effectively. A Web-based multilingual online news-filtering system is developed to illustrate how the approach works.