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Field of Research : Database Management
Field of Research : Global Information Systems
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  • Researchers (35)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0667600

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    An Integrated Infrastructure for Dynamic and Large Scale Supply Chain. Efficient and scalable middlewares are an important part of our current competitive economy. This is particularly important in Australia where production and population centres are spread over large distances. As a result, inefficiencies in web-based disparate businesses are likely to have a strong impact on the national economy. This project will provide an integrated framework and solutions to urgently needed integration .... An Integrated Infrastructure for Dynamic and Large Scale Supply Chain. Efficient and scalable middlewares are an important part of our current competitive economy. This is particularly important in Australia where production and population centres are spread over large distances. As a result, inefficiencies in web-based disparate businesses are likely to have a strong impact on the national economy. This project will provide an integrated framework and solutions to urgently needed integration problems faced by current industries. The development of a reliable and flexible infrastructure will benefit small and medium-scale enterprises, as they will be able to participate in large-scale supply chains and expand their business, without having to invest in expensive new computer systems and software.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455234

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Designing an Efficient and Scalable Infrastructure for Mobile Web Services. Mobile services (M-Services) are rapidly growing due to enormous proliferation of web services and of the wireless networks. However, because of the high dynamic nature of the Internet as well as the specific requirements of mobile environments, existing M-services have limitations as they lack support for flexible transactions. The aim of this project is to design an efficient mobile transaction-based infrastructure to .... Designing an Efficient and Scalable Infrastructure for Mobile Web Services. Mobile services (M-Services) are rapidly growing due to enormous proliferation of web services and of the wireless networks. However, because of the high dynamic nature of the Internet as well as the specific requirements of mobile environments, existing M-services have limitations as they lack support for flexible transactions. The aim of this project is to design an efficient mobile transaction-based infrastructure to support highly adaptable M-Services. This infrastructure will provide robust and efficient management of business transactions across different enterprises. The outcomes of this project will include a set of advanced techniques and algorithms that will form the basis of the next generation of mobile web services.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210100160

    Funder
    Australian Research Council
    Funding Amount
    $423,000.00
    Summary
    Information Extraction from Large-scale Low-quality Data. Information extraction which identifies entities and relations from data is a key technology that lays the foundation for understanding the semantics of data. This project aims to investigate the problem of information extraction by innovatively exploring the informality and temporal evolution of data. It expects to develop novel techniques for reliable, efficient, and scalable information discovery from large-scale low-quality data. Expe .... Information Extraction from Large-scale Low-quality Data. Information extraction which identifies entities and relations from data is a key technology that lays the foundation for understanding the semantics of data. This project aims to investigate the problem of information extraction by innovatively exploring the informality and temporal evolution of data. It expects to develop novel techniques for reliable, efficient, and scalable information discovery from large-scale low-quality data. Expected outcomes include a set of collective, contextualised, and temporal-aware algorithms for information extraction and integration, built on top of effective indexing and in-parallel processing. This project is anticipated to benefit a considerable number of data-driven intelligence-based applications.
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    Funded Activity

    Discovery Projects - Grant ID: DP110102777

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    QualA-D: a quality aware query engine for next generation data integration systems. This project will address the growing diversity of the web/user community by developing new approaches for data integration that incorporate data quality requirements such as data currency, completeness and coverage. First-of-breed quality aware query system is expected to be developed that will assist in improving user experience and satisfaction.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211207

    Funder
    Australian Research Council
    Funding Amount
    $176,351.00
    Summary
    Scalable Composition and Deployment of Business-to-Business Web-based E-Services. The ubiquity of the Internet offers far reaching opportunities for emerging Web applications. Separate businesses may be linked into a virtual enterprise that provides a one-stop shop for users. However, there is no model available for managing electronically accessible services (e-services) in a systematic manner which make them easy to compose and deploy. Our research proposes to address the fundamental issue .... Scalable Composition and Deployment of Business-to-Business Web-based E-Services. The ubiquity of the Internet offers far reaching opportunities for emerging Web applications. Separate businesses may be linked into a virtual enterprise that provides a one-stop shop for users. However, there is no model available for managing electronically accessible services (e-services) in a systematic manner which make them easy to compose and deploy. Our research proposes to address the fundamental issues related to fast and scalable composition of e-services in Web-based environments. We propose novel concepts for integrating a large number of dynamic and loosely coupled services. Another distinctive feature of our approach is the peer-to-peer collaborative execution of services.
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    Funded Activity

    Discovery Projects - Grant ID: DP110104880

    Funder
    Australian Research Council
    Funding Amount
    $260,692.00
    Summary
    Efficient processing of distance-based spatial queries on multi-valued objects. This project aims to develop effective and efficient algorithms to analyse large scale multi-valued objects. The success of this project will not only be an important complement to the current spatial database systems but also bring considerable economic and social benefits to Australia.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347217

    Funder
    Australian Research Council
    Funding Amount
    $251,771.00
    Summary
    Designing a Scalable and Robust Infrastructure for Highly Dynamic Web Services. Web services are modular Internet-based applications that communicate with one another over the Internet. However, because of the high dynamic nature of the Internet, existing web services have profound limitations as they lack the support of semantic-based service discovery and dynamic service composition. This project aims at designing a robust and scalable infrastructure to support highly dynamic web services. Thi .... Designing a Scalable and Robust Infrastructure for Highly Dynamic Web Services. Web services are modular Internet-based applications that communicate with one another over the Internet. However, because of the high dynamic nature of the Internet, existing web services have profound limitations as they lack the support of semantic-based service discovery and dynamic service composition. This project aims at designing a robust and scalable infrastructure to support highly dynamic web services. This infrastructure will provide an adaptive e-business platform enabling optimal integration of enterprise' complex business processes across external systems and third party applications. The outcomes will be a set of advanced techniques and algorithms that will form the basis of the next generation of e-business solutions.
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    Funded Activity

    Discovery Projects - Grant ID: DP0557572

    Funder
    Australian Research Council
    Funding Amount
    $218,000.00
    Summary
    A Framework for Supporting Consistent and Reliable Collaborative Business Transactions. Business integration and enterprise computing is at the heart of ICT objectives and initiatives global wide. The project aims to be of unique value to Australian industry and provide a means to achieve excellence in the field of research that promises to shape the future of e-business technology. The research conducted within this project will position Australia as one of the leaders in the business transacti .... A Framework for Supporting Consistent and Reliable Collaborative Business Transactions. Business integration and enterprise computing is at the heart of ICT objectives and initiatives global wide. The project aims to be of unique value to Australian industry and provide a means to achieve excellence in the field of research that promises to shape the future of e-business technology. The research conducted within this project will position Australia as one of the leaders in the business transaction area. The project outcomes in the form of specifications and formal models will provide generic solutions that are applicable to many Australian and international companies involved in distributed computing and e-business technologies.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE140100215

    Funder
    Australian Research Council
    Funding Amount
    $394,752.00
    Summary
    Searching Activity Trajectories for Intention Oriented Recommendations. The ubiquitous fusion of social network services and Global Positioning System-enabled mobile devices has generated large-scale activity trajectory data representing the footprint of people's daily activities. It presents an unprecedented opportunity to build highly intelligent recommendation systems. Existing approaches that merely focus on the location aspect of trajectories are limited in their ability to understand genui .... Searching Activity Trajectories for Intention Oriented Recommendations. The ubiquitous fusion of social network services and Global Positioning System-enabled mobile devices has generated large-scale activity trajectory data representing the footprint of people's daily activities. It presents an unprecedented opportunity to build highly intelligent recommendation systems. Existing approaches that merely focus on the location aspect of trajectories are limited in their ability to understand genuine preferences from travel histories, due to lack of consideration for activity information as well as the associated semantics and context. This project aims to address these issues and provide effective recommendations by considering both users’ intention and collective behavioural knowledge inferred from activity trajectories.
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    Funded Activity

    Linkage Projects - Grant ID: LP100200682

    Funder
    Australian Research Council
    Funding Amount
    $345,000.00
    Summary
    Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this projec .... Real-time and self-adaptive stream data analyser for intensive care management. The clinical benefit of this project will be in improved success rates and reduced mortality and risk in surgery and intensive care units. The Information and communication technology (ICT) benefit of this project is associated with the novel online algorithms and models aligned with the stream data research, and will be enhanced by our stream compression techniques. The stream data analyser developed in this project will be suitable for more than medical surveillance data; it will also improve the processing of other kinds of massive stream data (for example data from remote sensors, communication networks and other dynamic environments). The project involves a scientifically rich collaboration that will enhance the skills of PhD students and staff and drive the field forward.
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