Multilingual Web Content Mining: A User-Oriented Approach

Multilingual Web Content Mining: A User-Oriented Approach

Rowena Chau (Monash University, Australia) and Chung-Hsing Yeh (Monash University, Australia)
Copyright: © 2004 |Pages: 13
DOI: 10.4018/978-1-59140-194-0.ch006
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Abstract

This chapter presents a novel user-oriented, concept-based approach to multilingual web content mining using self-organizing maps. The multilingual linguistic knowledge required for multilingual web content mining is made available by encoding all multilingual concept-term relationships using a multilingual concept space. With this linguistic knowledge base, a concept-based multilingual text classifier is developed. It reveals the conceptual content of multilingual web documents and forms concept categories of multilingual web documents on a concept-based browsing interface. To personalize multilingual web content mining, a concept-based user profile is generated from a user’s bookmark file to highlight the user’s topics of information interest on the browsing interface. As such, both explorative browsing and user-oriented, concept-focused information filtering in multilingual web are facilitated.

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