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Aims | Introduction | Researchers | Doctoral Students | Masters (Research) Students | Honours Students | Past Members | Contact Coordinator News Prof. Jon Patrick wins the 2005 Eureka Prize for ICT Innovation
The laboratory’s research is broadly divided into two interrelated areas: Language Technologies (LT) and Knowledge Management (KM). The laboratory performs research in these two areas independently while at the same time researching text processing, data mining, and machine learning as foundational technologies to support both its LT and KM research. The mission of the Language Technologies Research Group is to advance the semantic analysis of natural language by the use of innovative computational methods. The group has a vibrant research program in language technologies in the Scamseek Project. This project aims to produce a system for the Australian Securities & Investment Commission (ASIC) to identify various types of illegal fund raising and investment advice found on static web pages, and share ramping in news group postings and Internet relay channels. Scamseek is the largest project ever undertaken by the School and the largest language technology research program in Australia. It is led by Professor Jon Patrick with a full-time staff of 8 people, 4 research assistants and 5 Ph.D. scholars. The research projects undertaken by the Knowledge Management Research Group are organised under four themes, namely, knowledge discovery, knowledge representation, knowledge sharing and transfer, and the knowledge economy. Knowledge discovery research includes algorithms and applications of data, text, and web mining to detect new patterns in large datasets and some of the applications of the group’s work are in health insurance fraud detection and synthesis of models of open source software development performance. Knowledge representation research is focused on developing and testing appropriate representations and visualisation of the discovered knowledge. The group has carried out empirical research into and software design for web content management and sharing of knowledge in large organizations and digitally networked communities. The knowledge economy research spans investigations into the critical information technology-related drivers of financial performance at the firm and industry levels and developments in web service technology.
back to School of Information Technologies home page back to University of Sydney home page Site maintained by Chien-Chin Yong last updated on 15 August 2005. |
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