A personalized multilingual web content miner: PMWebMiner

  • Authors:

  • Rowena Chau;Chung-Hsing Yeh;Kate A. Smith

  • Affiliations:

  • School of Business Systems, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;School of Business Systems, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia;School of Business Systems, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia

  • Venue:
  • ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
  • Year:
  • 2005

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Abstract

This paper presents the development of a novel personal concept-based multilingual Web content mining system. Multilingual linguistic knowledge required by multilingual Web content mining is made available by encoding all multilingual concept-term relationships within a multilingual concept space using self-organising map. With this linguistic knowledge base, a personal space of interest is generated to reveal the conceptual content of a user’s multiple topics of interest using the user’s bookmark file. To personalise the multilingual Web content mining process, a concept-based Web crawler is developed to automatically gather multilingual web documents that are relevant to the user’s topics of interest As such, user-oriented concept-focused knowledge discovery in the multilingual Web is facilitated.