An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation meth ....An knowledge-based approach to multi-document text summarisation for automated meta-analysis of the scientific literature. The biomedical sciences produce literature at an exponential rate, and the size of this knowledge base far exceeds the capacity of humans to keep up with the growth in new knowledge. This project will develop computational text summarisation methods to abstract the content of scientific journal articles reporting clinical trials, and develop multi-document summarisation methods to synthesise these abstracts using automated statistical meta-analysis methods. These methods have broad potential to improve text-summarisation technologies in general, to profoundly enhance our ability to integrate published knowledge, and to make a highly significant and specific contribution to improving the quality of evidence used in health decision-making. Read moreRead less
Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant p ....Engineering safe decision support systems for healthcare. System safety is critical to the success of large-scale computerisation being undertaken to improve the quality of health services delivery worldwide. The research program will develop innovative tools and methods to improve the safety of clinical information systems. The focus on electronic prescribing systems will ensure that the outcomes of this research will have immediate impact on reducing medication errors which are a significant public health issue both nationally and internationally. Read moreRead less
Learning strategies for personal agents to assist professional users in searching the Web. Many professional groups have large unmet information needs, with significant consequences for the public. We will take a novel strategy-based approach to the design of agents that assist humans in information search tasks, which represents a significant departure from the dominant paradigm of content-based retrieval. Our goal is to develop automated methods to learn task specific search strategies, embed ....Learning strategies for personal agents to assist professional users in searching the Web. Many professional groups have large unmet information needs, with significant consequences for the public. We will take a novel strategy-based approach to the design of agents that assist humans in information search tasks, which represents a significant departure from the dominant paradigm of content-based retrieval. Our goal is to develop automated methods to learn task specific search strategies, embed them in agents, and use them to guide human-agent interactions and search behaviours. To discover the effectiveness of our approach we will evaluate our methods with health care professionals.Read moreRead less
Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesi ....Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesirable patterns. The work will have immediate applicability to medical practice and will drive innovation in data mining method, notably for efficient identification of temporal and complex niche patterns. More broadly, the work will extend the way data mining is used to create new expectations of workstation behaviour.Read moreRead less
Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a numb ....Mining Multiple Information Sources through Collaborative and Comparative Analysis. Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a number of high quality publications to enhance Australia's international foremost standing in the data mining community. The project will involve highly trained and skilled researchers and practitioners to advance the workforce development in the Australian information technology industry and ensure the healthy growth of the economy.Read moreRead less
Managing conflicts in requirements engineering with argumentation frameworks. This project proposes to employ argumentation theory and frameworks to tackle the problem of conflict management and resolution in requirements engineering. Australia has a strong competitive advantage in the areas of belief change and conflict management. The outcomes of this project will provide an improved infrastructure for several areas of software engineering, including requirements engineering and software evol ....Managing conflicts in requirements engineering with argumentation frameworks. This project proposes to employ argumentation theory and frameworks to tackle the problem of conflict management and resolution in requirements engineering. Australia has a strong competitive advantage in the areas of belief change and conflict management. The outcomes of this project will provide an improved infrastructure for several areas of software engineering, including requirements engineering and software evolution management. More broadly, the work proposed here will enable the IT industry to adopt and utilise the techniques developed in a number of research fields of Artificial Intelligence in developing the robust and reliable software systems for the rapidly changing knowledge economy of the 21st century.Read moreRead less
Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research. Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internation ....Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research. Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internationally. Thus, significant benefits in terms of lower mortality rates and lower long-term disability rates among babies requiring special care is possible. This research will provide the basis for future projects that will support regional hospitals.Read moreRead less
The Impact of Information about Data Quality on Decision Making. Data quality problems are widespread in practice and have significant economic impacts. The development of theoretically sound data quality tags and understanding how they impact decision outcomes and processes will lead to improved data quality management within Australian organisations and more efficient and effective decision making. These issues constitute an important area of information technology research. Outcomes from the ....The Impact of Information about Data Quality on Decision Making. Data quality problems are widespread in practice and have significant economic impacts. The development of theoretically sound data quality tags and understanding how they impact decision outcomes and processes will lead to improved data quality management within Australian organisations and more efficient and effective decision making. These issues constitute an important area of information technology research. Outcomes from the project will enhance Australia's research standing and contribute to university teaching and researcher training.Read moreRead less
Effective and Efficient Situation Awareness in Big Social Media Data . Crisis management services using traditional methods like phone calls can be easily delayed due to limited communication ability in the disaster area. This project aims to help users make smart decision in critical situations by using big social media data to detect complex social events, receive recommendations, and observe event summaries. We will invent advanced social data models, efficient indices and query techniques fo ....Effective and Efficient Situation Awareness in Big Social Media Data . Crisis management services using traditional methods like phone calls can be easily delayed due to limited communication ability in the disaster area. This project aims to help users make smart decision in critical situations by using big social media data to detect complex social events, receive recommendations, and observe event summaries. We will invent advanced social data models, efficient indices and query techniques for situation awareness in big media. We expect to develop a system to evaluate the proposed situation awareness framework. The outcomes of the project will benefit social media analysis and big data fields. It will also improve the government services by enabling the real time situation awareness in crisis.Read moreRead less
Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are ....Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are decentralized and have a hierarchical structure. The proposed techniques are extremely effective for such kinds of organizations in critical planning, management and policy making, including tourism resource planning, water resource management, financial planning, healthcare planning, land-use planning, production planning, transportation planning, and power market planning.Read moreRead less