Fuzzy-neuro web-based multilingual knowledge management

  • Authors:

  • Rowena Chau;Chung-Hsing Yeh;Kate Smith-Miles

  • Affiliations:

  • Clayton School of Information Technology, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;Clayton School of Information Technology, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;School of Engineering and Information Technology, Burwood, Victoria, Australia

  • Venue:
  • FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
  • Year:
  • 2006

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Abstract

This paper presents new methodology towards the automatic development of multilingual Web portal for multilingual knowledge discovery and management. It aims to provide an efficient and effective framework for selecting and organizing knowledge from voluminous linguistically diverse Web contents. To achieve this, a concept-based approach that incorporates text mining and Web content mining using neural network and fuzzy techniques is proposed. First, a concept-based taxonomy of themes, which will act as the hierarchical backbone of the Web portal, is automatically generated. Second, a concept-based multilingual Web crawler is developed to intelligently harvest relevant multilingual documents from the Web. Finally, a concept-based multilingual text categorization technique is proposed to organize multilingual documents by concepts. As such, correlated multilingual Web documents can be gathered/filtered/organised/ based on their semantic content to facilitate high-performance multilingual information access.