Concept-Based Multilingual Web Content Mining

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.