A personalized multilingual web content miner: PMWebminer

Rowena Chau, Chung Hsing Yeh, Kate A. Smith

    Research output: Contribution to journalConference articleResearchpeer-review


    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.

    Original languageEnglish
    Pages (from-to)956-965
    Number of pages10
    JournalLecture Notes in Computer Science
    Issue numberII
    Publication statusPublished - 26 Sep 2005
    EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - Singapore, Singapore
    Duration: 9 May 200512 May 2005

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