Multilingual text categorisation for global knowledge discovery using fuzzy techniques

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    Abstract

    Enabling navigation among a network of inter-related concepts associating conceptually relevant multilingual documents constitutes the fundamental support to global knowledge discovery. To achieve this, a concept-based approach towards multilingual text categorisation using fuzzy techniques is proposed. First, a language-independent concept space for representing documents regardless of languages is generated using a fuzzy multilingual keyword clustering algorithm based on fuzzy c-means. Second, a fuzzy multilingual text classifier that categorises multilingual documents by concepts is developed using the fuzzy k-nearest neighbour classification technique. Referring to the multilingual text categorisation result as a Yahoo-like directory, concept navigation among the whole multilingual document collection is facilitated.

    Original languageEnglish
    Title of host publicationProceedings - 2002 IEEE International Conference on Artificial Intelligence Systems, ICAIS 2002
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages82-86
    Number of pages5
    ISBN (Electronic)0769517331, 9780769517339
    DOIs
    Publication statusPublished - 1 Jan 2002
    EventIEEE International Conference on Artificial Intelligence Systems, ICAIS 2002 - Divnomorskoe, Russian Federation
    Duration: 5 Sep 200210 Sep 2002

    Conference

    ConferenceIEEE International Conference on Artificial Intelligence Systems, ICAIS 2002
    CountryRussian Federation
    CityDivnomorskoe
    Period5/09/0210/09/02

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