Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian ent ....Escaping the concurrency trade-off: a new approach to enterprise software. Enterprise software manages the operations of all business and government organisations. Designers of this often rely on their intuition or luck, by using high-performance database facilities whose correctness is not guaranteed. This project will show designers how to use these facilities while still having the assurance that the data will not be corrupted. This will improve the quality of the data used by Australian enterprises, and thus improve their operations. Australian software designers will also benefit, as they will be able to produce software that combines high performance with assurance that concurrency errors will not occur.Read moreRead less
A novel Internet-based clinical trial service. The best way to test whether a clinical treatment intervention is effective is a randomised controlled trial (rct). Rcts are expensive, both in terms of resources and time. The internet may provide a method of conducting rcts which is efficent and provides access to those in remote communities. The purpose of this project is to assess the feasibility of developing a structure for conducting rcts using the internet.
Improving the Effectiveness of Conceptual Model Validation Work. Errors or omissions in conceptual models often lead to significant problems when information systems are being built. Prior research has shown the cost of fixing the consequences of such errors or omissions grows exponentially as a function of how late they are discovered. Thus, significant economic benefits arise if they are identified early in the system development process. The project outcomes will facilitate early prevention ....Improving the Effectiveness of Conceptual Model Validation Work. Errors or omissions in conceptual models often lead to significant problems when information systems are being built. Prior research has shown the cost of fixing the consequences of such errors or omissions grows exponentially as a function of how late they are discovered. Thus, significant economic benefits arise if they are identified early in the system development process. The project outcomes will facilitate early prevention and detection of errors of omissions in conceptual models. They will also contribute to attainment of the national priority goal of smart information use through improved data management.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101465
Funder
Australian Research Council
Funding Amount
$419,498.00
Summary
Minimising Human Efforts to Fight Fake News and Restore the Public Trust. Our modern society is struggling with an unprecedented amount of online fake news, which is recently driven by misused artificial intelligence (AI) technologies. This project aims to build the first real-time system integrating algorithmic models and human validators to counter such falsehoods, especially those AI-fabricated false stories. This project expects to deliver a series of cost-effective and streaming methods emp ....Minimising Human Efforts to Fight Fake News and Restore the Public Trust. Our modern society is struggling with an unprecedented amount of online fake news, which is recently driven by misused artificial intelligence (AI) technologies. This project aims to build the first real-time system integrating algorithmic models and human validators to counter such falsehoods, especially those AI-fabricated false stories. This project expects to deliver a series of cost-effective and streaming methods empowering a Web-based observatory dashboard of fake news propagation. This achieves significant benefits for media organisations, governments, the public, and academia via timely alerts, data-journalism reports, and novel data visualisations of social media landscape to distinguish between legitimate and deceptive contents.Read moreRead less
Challenging big data for scalable, robust and real-time recommendations. With the advent of big data era, recommender systems are facing unprecedented challenges with respect to the four dimensions of big data: big volume, low veracity, high velocity and high variety. This project aims to develop a new generation of cost-effective techniques for scalable, robust and real-time recommendations utilising big data. This project aims to address these challenges to achieve scalable, robust and real-ti ....Challenging big data for scalable, robust and real-time recommendations. With the advent of big data era, recommender systems are facing unprecedented challenges with respect to the four dimensions of big data: big volume, low veracity, high velocity and high variety. This project aims to develop a new generation of cost-effective techniques for scalable, robust and real-time recommendations utilising big data. This project aims to address these challenges to achieve scalable, robust and real-time recommendations. This project will devise a series of cost-effective machine learning methods and schemes to deliver an end-to-end recommender framework. This project has the potential to significantly reduce the energy consumption of large-scale recommender systems as well as facilitating an increase in the use of recommendation applications for big data.Read moreRead less
Big data fast response: real-time classification of big data stream. This project will provide a big data stream based data mining framework to build a real-time monitoring and decision making platform for business and government big data. By clever use of smart information, this breakthrough science will provide frontier technologies for managing and using huge data for social and economic benefits globally.
Enabling User-Centric Wisdom Engines for Big Information Network Search. Big information networks, for example social networks, are important for modern information systems, yet searching for useful information from huge networks is difficult because network structure and user relationships continuously evolve. This project will provide theoretical foundations for structural knowledge mining to enable user-centric wisdom search on big information networks. Expected outcomes are: real-world appli ....Enabling User-Centric Wisdom Engines for Big Information Network Search. Big information networks, for example social networks, are important for modern information systems, yet searching for useful information from huge networks is difficult because network structure and user relationships continuously evolve. This project will provide theoretical foundations for structural knowledge mining to enable user-centric wisdom search on big information networks. Expected outcomes are: real-world application platform to support information network analysis; theories for big network control, algorithms, and systematic solutions to enable user-centric knowledge search, including a new search engine for big information networks. By significantly improving IT, it will benefit Australian business, industry and the wider community.Read moreRead less
Expressiveness Comparison and Interchange Facilitation between Business Process Execution Languages. Developments in the area of business process management are currently hindered by the plethora of diverse business process execution languages. This project will develop techniques for dealing with interoperability issues induced by this language heterogeneity. The project combines theoretical research, grounded in concurrency theory and workflow patterns, with pragmatic research focusing on lang ....Expressiveness Comparison and Interchange Facilitation between Business Process Execution Languages. Developments in the area of business process management are currently hindered by the plethora of diverse business process execution languages. This project will develop techniques for dealing with interoperability issues induced by this language heterogeneity. The project combines theoretical research, grounded in concurrency theory and workflow patterns, with pragmatic research focusing on languages supported by commercial tools. The outcome will be a framework for comparing the expressiveness of process execution languages and defining mappings between them. This will place Australia at the forefront of developments in business process management systems: a crucial technology in today's global, dynamic, and heterogeneous environments.
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Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-mo ....Intelligent Biomedical System Modelling and Multi-modality Image Analysis to Maximize Diagnostic Information from Medical Imaging. Medical imaging is an essential part of our Australian modern health care system and plays an important role in the diagnosis, treatment planning and decision making and assessment of treatment of patients. This project aims to maximize the benefit of federal government healthcare investment through intelligent biomedical system modelling in conjunction with multi-modality image analysis to extract crucial additional information for accurate diagnosis and improved treatment, which will not only lead to a major scientific advancement, but also deliver significant social benefits.Read moreRead less
Personalized, Adaptive, and Semantic-driven Selection and Composition of Web Services. Web services are the pillar of the new generation of Internet technologies. They provide standardized access to functionality that would otherwise be hidden inside enterprise information systems. As the existing base of web services expands, there is a need for techniques to select, configure, assemble, and coordinate web services to perform complex user tasks. This project will advance the fundamental underst ....Personalized, Adaptive, and Semantic-driven Selection and Composition of Web Services. Web services are the pillar of the new generation of Internet technologies. They provide standardized access to functionality that would otherwise be hidden inside enterprise information systems. As the existing base of web services expands, there is a need for techniques to select, configure, assemble, and coordinate web services to perform complex user tasks. This project will advance the fundamental understanding and know-how in this area by addressing three complementary research challenges: how to, organize and search semantically rich service descriptions; select services with respect to flexible and personalized criteria; and coordinate services in an adaptive and context-aware manner.Read moreRead less