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Research Topic : Information processing services
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Artificial Intelligence and Image Processing (745)
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Expanding Knowledge in the Information and Computing Sciences (525)
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  • Researchers (4829)
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  • Funded Activity

    Discovery Projects - Grant ID: DP1096523

    Funder
    Australian Research Council
    Funding Amount
    $285,000.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP0987687

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    Mobile Query Processing: An Integrated Approach. Mobile communication is a frontier technology, and providing efficient mobile query services to the general public is critical in placing Australia as a leading country in mobile information services. The benefit to Australia nationally is beyond the telecommunication industry. The project will transform other Australian industries which rely on mobile information services, including emergency response services (eg. ambulance, police), mobile work .... Mobile Query Processing: An Integrated Approach. Mobile communication is a frontier technology, and providing efficient mobile query services to the general public is critical in placing Australia as a leading country in mobile information services. The benefit to Australia nationally is beyond the telecommunication industry. The project will transform other Australian industries which rely on mobile information services, including emergency response services (eg. ambulance, police), mobile workforce and mobile commerce, transportation/traffic controller, bureau of meteorology, defence/army forces, financial market, as well as tourism and news. With the enormous growing of investment in these industries, this project will become a major contribution to national productivity and growth.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452862

    Funder
    Australian Research Council
    Funding Amount
    $282,000.00
    Summary
    Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain r .... Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain relevance feedback. The outcome will be a prototype system useful to business and industry though to guide our thinking we will use issues in constructing a quality digital library collection as a sounding board.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665270

    Funder
    Australian Research Council
    Funding Amount
    $246,000.00
    Summary
    Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is .... Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is an original contribution in a growing area of information technology research. The data and rigorously tested research protocols developed will enhance Australia'a research standing, contribute to university teaching and researcher training, and improve the effectiveness and efficiency of the Australian information technology industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343858

    Funder
    Australian Research Council
    Funding Amount
    $100,000.00
    Summary
    Information Health Monitor: An Instrument to Assess the Product and Service Quality of Information. Information quality problems are widespread in practice and have significant economic impacts. This project will refine and extend a rigorous theoretical framework for understanding information quality and develop and validate the Information Health Monitor, an instrument for assessing the quality of information within organisations. Existing approaches to information quality are mostly not rigoro .... Information Health Monitor: An Instrument to Assess the Product and Service Quality of Information. Information quality problems are widespread in practice and have significant economic impacts. This project will refine and extend a rigorous theoretical framework for understanding information quality and develop and validate the Information Health Monitor, an instrument for assessing the quality of information within organisations. Existing approaches to information quality are mostly not rigorously defined and view information as a product. This work is significant and innovative as it is soundly based in existing theory, rigorously defined and views information as both a product and service. The instrument will enable organisations to better identify and address their information quality problems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0663879

    Funder
    Australian Research Council
    Funding Amount
    $160,744.00
    Summary
    Information Delivery from Segmented Textual Data Streams. This project will contribute to the advancement of ICT innovation in Australia by developing a robust, reusable language understanding engine. The technology will be tailored to web applications, in the form of a conceptually-aware web search engine capable of tracking cross-document dialogues and identifying the core semantic thread of the dialogue. It will place Australia at the forefront of next-generation language technology developme .... Information Delivery from Segmented Textual Data Streams. This project will contribute to the advancement of ICT innovation in Australia by developing a robust, reusable language understanding engine. The technology will be tailored to web applications, in the form of a conceptually-aware web search engine capable of tracking cross-document dialogues and identifying the core semantic thread of the dialogue. It will place Australia at the forefront of next-generation language technology development, with applications in areas including concept-based multi-document summarisation and email surveillance.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561231

    Funder
    Australian Research Council
    Funding Amount
    $671,715.00
    Summary
    MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools acc .... MRI GRID Computing Facility: Design, Optimisation and Image Processing. The MRI Grid Computing Facility provides the IT infrastructure to achieve effective e-research in the area of magnetic resonance (MR) imaging, a field of neuroscience research that revolutionizes the way brain diseases are identified and treated. The facility consists of a dedicated high performance grid compute engine, distributed visualisation workstations, and distributed data warehouse facilities. Software tools accessible through the Internet will enable researchers to archive, retrieve and exchange data and software; access distributed MR image databases and the latest MR image analysis tools; schedule analysis tasks on the grid compute engine, the outcomes of which will be visualized by the visualization workstations.
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    Funded Activity

    Linkage - International - Grant ID: LX0882711

    Funder
    Australian Research Council
    Funding Amount
    $34,000.00
    Summary
    eResearch in the Neurosciences: Building collaborations in Asia. The proposed Australasian collaboration on eResearch in Neuroscience will promote and maintain the good health of Australians by 'improving critical mass through collaboration and information sharing' through increased access to advanced imaging technology in Korea and analysis techniques in Japan. The collaboration will also promote frontier technologies for building and transforming Australian industries by developing a creative .... eResearch in the Neurosciences: Building collaborations in Asia. The proposed Australasian collaboration on eResearch in Neuroscience will promote and maintain the good health of Australians by 'improving critical mass through collaboration and information sharing' through increased access to advanced imaging technology in Korea and analysis techniques in Japan. The collaboration will also promote frontier technologies for building and transforming Australian industries by developing a creative and innovative research environment and enhancing Australian scientists' participation in breakthrough science. Great national benefit can be derived from international research collaboration, due to the contribution frontier technology can make to science and health.
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    Funded Activity

    Linkage - International - Grant ID: LX0346612

    Funder
    Australian Research Council
    Funding Amount
    $58,604.00
    Summary
    Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm .... Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.
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    Funded Activity

    Discovery Projects - Grant ID: DP0210999

    Funder
    Australian Research Council
    Funding Amount
    $211,164.00
    Summary
    Asynchronous Continuous Time Conditioning. Methodology for reasoning about Asynchronous Temporal Conditional Events (ATCE) obtains, complete with logical calculus for causal relations, reasoning about continuous time belief change, and markov chain algorithms calculating joint distributions of ATCE's. Current techniques, including bayesian nets, are oblivious to temporal aspects; within our model they can be enhanced to recognize dynamic time changes. Ours is the first such unified model and .... Asynchronous Continuous Time Conditioning. Methodology for reasoning about Asynchronous Temporal Conditional Events (ATCE) obtains, complete with logical calculus for causal relations, reasoning about continuous time belief change, and markov chain algorithms calculating joint distributions of ATCE's. Current techniques, including bayesian nets, are oblivious to temporal aspects; within our model they can be enhanced to recognize dynamic time changes. Ours is the first such unified model and first to link conditional objects with continuous time constraints. Need for structures we propose arises in diagnostic reasoning, bayesian learning, temporal databases, and time-dependent data mining. Several commercial products (like Microsoft Office Assistant)could apply them forthwith.
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    Showing 1-10 of 6794 Funded Activites

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