Concept-Based Multilingual Web Content Mining

  • Yeh, Chung-Hsing (Primary Chief Investigator (PCI))
  • Chau, Rowena, (Chief Investigator (CI))
  • Smith-Miles, Kate, (Chief Investigator (CI))

    Project: Research

    Project Description

    Towards smart use of Web information, this pioneer project will develop an innovative concept-based approach for discovering global knowledge embedded within multilingual Web documents. Departing from the traditional bilingual term-to-term machine translation techniques, the approach overcomes the notorious vocabulary mismatch problem by enabling synchronised lexical mapping of multiple languages. A series of intelligent concept-based techniques using fuzzy logic and neural networks will be investigated to support smart Web information browsing and exploration. This project will provide valuable new insights into developing state-of-the-art multilingual Web mining applications for enhancing business intelligence in Australia's knowledge driven industries.
    StatusFinished
    Effective start/end date1/01/0431/03/07

    Funding

    • Australian Research Council (ARC): AUD40,000.00
    • Australian Research Council (ARC): AUD197,466.00
    • Monash University