Journal article

Personalized multilingual Web content mining

R Chau, CH Yeh, KA Smith, MG Negoita (ed.), RJ Howlett (ed.), LC Jain (ed.)

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | SPRINGER-VERLAG BERLIN | Published : 2004

Abstract

Personalized multilingual Web content mining is particularly important for user who wants to keep track of global knowledge that is relevant to his/her personal domain of interest over the multilingual WWW. This paper presents a novel concept-based approach to personal multilingual Web content mining by constructing a personal multilingual Web space using self-organising maps. Multilingual linguistic knowledge required to define the multilingual Web space is made available by encoding all multilingual concept-term relationships using a multilingual concept map. With this map as the linguistic knowledge base, a concept-based multilingual text miner is developed to reveal the conceptual conten..

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University of Melbourne Researchers