Normalizing XML Documents. Our work will be of great benefit, both to the research community and to the ICT industry. The project addresses one of the most important problems in XML usage and we expect our results to be published in important international forums, as has our preliminary research on the topic. This will significantly improve Australia's reputation in research in the ICT area. In the longer term, we intend to build commercial software tools based on the results of our research ....Normalizing XML Documents. Our work will be of great benefit, both to the research community and to the ICT industry. The project addresses one of the most important problems in XML usage and we expect our results to be published in important international forums, as has our preliminary research on the topic. This will significantly improve Australia's reputation in research in the ICT area. In the longer term, we intend to build commercial software tools based on the results of our research and this will be of direct benefit to the Australian economy and the Australian ICT industry.Read moreRead less
Towards Scalable, Internet-Based RFID Traceability Networks. Food and drug safety is a major public health issue in Australia. Recent events involving poisoning of chocolate bars and paracetamol tablets in Australia have demonstrated the urgent need for improved ways of locating and recalling commercial products that have been released into the community. This project will develop novel techniques for locating items in large-scale distribution networks driven by RFID (Radio Frequency Identificat ....Towards Scalable, Internet-Based RFID Traceability Networks. Food and drug safety is a major public health issue in Australia. Recent events involving poisoning of chocolate bars and paracetamol tablets in Australia have demonstrated the urgent need for improved ways of locating and recalling commercial products that have been released into the community. This project will develop novel techniques for locating items in large-scale distribution networks driven by RFID (Radio Frequency Identification) technology. The outcomes of the project will make it easier to rapidly and accurately pinpoint product locations in the event of problems such as an illness outbreak due to contaminated food or counterfeited drugs. Read moreRead less
Improving Extensible Markup Language (XML) data quality using XML integrity constraints. The first benefit of the project will be the of development a new technology that will improve the data quality in Australian organizations using the rapidly growing Extensible Markup Language (XML) technology. It will also be of benefit to the Australian software industry, since the outcome of the project is a software tool for cleaning XML data that is aimed at eventual commercialisation in a quickly gro ....Improving Extensible Markup Language (XML) data quality using XML integrity constraints. The first benefit of the project will be the of development a new technology that will improve the data quality in Australian organizations using the rapidly growing Extensible Markup Language (XML) technology. It will also be of benefit to the Australian software industry, since the outcome of the project is a software tool for cleaning XML data that is aimed at eventual commercialisation in a quickly growing area of the software market. The project will also boost international research collaboration through the involvement of an overseas partner investigator, and expand Australia's expertise in the new area of XML technology through the training of a Ph.D. student.Read moreRead less
The impact of strategic alignment on IT outsourcing success in a complex service setting. Improved conceptual and methodological understanding of strategic alignment is essential for better IT outsourcing decisions. This research will improve the performance of Australian industry by investigating how strategically well aligned ITO investments can lead to improved performance and greater competitive advantage.
Integration of Object Behavior in Federated Information Systems. Integration of autonomous object-oriented systems requires the integration
of object structure and object behaviour. Research in federated information
systems has so far mainly addressed integration of object structure. This
project will investigate the integration of object behaviour, especially object
life cycles. A major application area is the integration of business processes,
which is typically required when companies me ....Integration of Object Behavior in Federated Information Systems. Integration of autonomous object-oriented systems requires the integration
of object structure and object behaviour. Research in federated information
systems has so far mainly addressed integration of object structure. This
project will investigate the integration of object behaviour, especially object
life cycles. A major application area is the integration of business processes,
which is typically required when companies merge or enter into
consumer-producer relationships and constitutes a key capability for B2B e-commerce
systems. Consistency criteria for behaviour integration
will be defined and applied in a graphical integration tool that guides the
definition of global behavioural views upon autonomous object-oriented systems.
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Learning human activities through low cost, unobtrusive RFID technology. A rapidly growing aged population presents many challenges to Australia's health and aged care services. The outcomes of this project will help aging Australians live in their own homes longer, with greater independence and safety by providing an automated, unobtrusive means for health professionals to monitor activity and intervene as required.
Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving ....Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving this problem. It proposes to develop a set of effective methods for privacy-preserving data publication through combining randomisation with anonymisation, and for classifying the published data through uncertainty leveraging by probabilistic reasoning and accuracy lifting by inter-flow correlation analysis and active learning.Read moreRead less
What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and econo ....What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as emergency and disaster management and online healthcare. This project also serves as an excellent vehicle for the education and training of Australia’s next generation of scholars and engineers.Read moreRead less
A Platform for Rapid and Flexible Development of Context-Aware Web Services. Context awareness is one of the most exciting trends in computing today, and it holds the potential to make our daily life more productive, convenient and enjoyable. The proposed project will produce a comprehensive platform for developing context-aware Web services, which will facilitate ready implementation of many innovative applications and make important contributions to Australian society and the national economy. ....A Platform for Rapid and Flexible Development of Context-Aware Web Services. Context awareness is one of the most exciting trends in computing today, and it holds the potential to make our daily life more productive, convenient and enjoyable. The proposed project will produce a comprehensive platform for developing context-aware Web services, which will facilitate ready implementation of many innovative applications and make important contributions to Australian society and the national economy. One such application is an intelligent seniors assistance service that will improve quality of life for senior citizens while helping them maintain an independent lifestyle. This project will also place Australia at the forefront of Web service development.Read moreRead less
Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, te ....Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, tested on real datasets, that combines new techniques in data modelling, algorithm development, and system design. Likely benefits are enhanced Australia's competence in data science through student training and new, robust data tools relevant to critical sectors such as cybersecurity, healthcare, and defence.Read moreRead less