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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Chau, R., Yeh, CH., Smith, K.A. (2005). A Personalized Multilingual Web Content Miner: PMWebMiner. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_103
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DOI: https://doi.org/10.1007/11424826_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25861-2
Online ISBN: 978-3-540-32044-9
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