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Field of Research : Database Management
Research Topic : Machine Tools
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP0210654

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    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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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102298

    Funder
    Australian Research Council
    Funding Amount
    $390,000.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP180100212

    Funder
    Australian Research Council
    Funding Amount
    $362,734.00
    Summary
    A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword .... A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.
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    Funded Activity

    Linkage Projects - Grant ID: LP110100166

    Funder
    Australian Research Council
    Funding Amount
    $163,332.00
    Summary
    Techniques for active conceptual modelling and guided data mining for rapid knowledge discovery. Quick, accurate responses to rapidly evolving phenomena are essential. This project will develop a platform able to accept data from a variety of sources in advance of the full definition of the associated conceptual model. The project will facilitate rapid querying and direct manipulation of the mining process allowing fast, user-oriented results.
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    Showing 1-4 of 4 Funded Activites

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