Technologies on Display
E2 - Knowledge Management System for Chinese
Text
This
project aims at developing advanced knowledge management technology for
handling large-scale unstructured information such as news and text-based
documents. A fundamental layer in knowledge management is to categorize
unstructured information into a taxonomy of classes or concepts. We focus on
cutting-edge research on automatic categorization of Chinese text. Machine
learning and text mining techniques are employed for designing the
intelligent categorization models. Intensive human effort can be greatly
reduced even the demand of high-quality categorization performance
increases. Funded by Wisers Information Limited and ITF (HKSAR Government),
we have successfully applied our technology and developed a knowledge
management package which can automate and improve the quality of service and
operation efficiency and widen the business scope of Wisers.
Applications
- Automatic text categorization
- Automatic news filtering
- Intelligent text management
- Customization of text document delivery
Features
- First large-scale automatic Chinese text document categorization
- Tailor-made user-specified class taxonomy
- Hierarchical taxonomy and categorization
- Extensible to multilingual text, e.g. Chinese and English
- Advanced machine learning and intelligent text mining techniques
Principal Investigator
Prof. Wai Lam
Department of Systems Engineering and Engineering Management
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