A Personalized Multilingual Web Content Miner: PMWebminer

Rowena Chau, Chung Hsing Yeh, Kate A. Smith

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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
    Title of host publicationProceedings of the International Conference on Computational Science and Its Applications (ICCSA 2005)
    Subtitle of host publicationInternational Conference Singapore, May 9-12, 2005 Proceedings, Part II
    EditorsOsvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan
    Place of PublicationBerlin Germany
    Number of pages10
    ISBN (Print)3540258612, 9783540258612
    Publication statusPublished - 26 Sept 2005
    EventInternational Conference on Computational Science and Applications 2005 - Singapore, Singapore
    Duration: 9 May 200512 May 2005
    https://link.springer.com/book/10.1007/b136266 (Proceedings)

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743


    ConferenceInternational Conference on Computational Science and Applications 2005
    Abbreviated titleICCSA 2005
    Internet address

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