Intelligent Agent and Semantic Web empowered eFinance: A Knowledge Management Approach to enable and sustain Innovation. This research project will build new methods for adopting and deploying emerging Intelligent Agent and Semantic Web technologies for the purpose of enabling and sustaining innovation. Intelligent Agents and the Semantic Web are frontier technologies that facilitate information sharing and knowledge integration from multiple resources, and empower complex information systems ....Intelligent Agent and Semantic Web empowered eFinance: A Knowledge Management Approach to enable and sustain Innovation. This research project will build new methods for adopting and deploying emerging Intelligent Agent and Semantic Web technologies for the purpose of enabling and sustaining innovation. Intelligent Agents and the Semantic Web are frontier technologies that facilitate information sharing and knowledge integration from multiple resources, and empower complex information systems for independent action in open unpredictable environments such as a competitive global marketplace. We apply our methods in the Wholesale Financial Services Industry. Hence, the project supports both the ARC designated priority area, Frontier Technologies, and a National Priority to establish Australia as a financial services centre in the Asia Pacific Region.Read moreRead less
Towards High-Order Structure Search on Large-Scale Graphs. High-order structure search over large-scale graphs has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to lay the scientific foundations and develop novel computing techniques for efficiently conducting structure search. The outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The succe ....Towards High-Order Structure Search on Large-Scale Graphs. High-order structure search over large-scale graphs has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to lay the scientific foundations and develop novel computing techniques for efficiently conducting structure search. The outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media based recommendation, network management, and E-business.Read moreRead less
Developing and Managing Sustainable Technology-Enabled Innovation Capabilities: An Information Systems Approach. Australian industry's search for competitive advantage in global markets is creating increasing pressure to innovate. The only pathway to business success is perpetual innovation but this is fraught with challenges, pitfalls and risk.
This project assists industry innovation by advancing our understanding of two key areas: technology-enabled innovation and the adoption and impact ....Developing and Managing Sustainable Technology-Enabled Innovation Capabilities: An Information Systems Approach. Australian industry's search for competitive advantage in global markets is creating increasing pressure to innovate. The only pathway to business success is perpetual innovation but this is fraught with challenges, pitfalls and risk.
This project assists industry innovation by advancing our understanding of two key areas: technology-enabled innovation and the adoption and impact of disruptive frontier technologies. It will develop, test, analyse and evaluate a new framework for technology-enabled business innovation in the area of Treasury Risk Management.
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Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techn ....Efficient Processing of Complex Spatial Queries. Similarity search and join are two of the most popular yet complex queiries in spatial databases. They are also two of the major spatial data analysis paradigms. To complement the existing techniques, this project aims to investigate a more complex and important form of these two problems, and to develop novel framework to approach the proposed problems. The successful achievements of the project will not only bring new spatial data analysis techniques but also deliever effective solutions to a number of real-life apllications.Read moreRead less