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Field of Research : Database Management
Field of Research : Information Retrieval and Web Search
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  • Funded Activity

    Discovery Projects - Grant ID: DP140101587

    Funder
    Australian Research Council
    Funding Amount
    $422,000.00
    Summary
    Efficient and effective ad-hoc search using structured and unstructured geospatial information. Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the qual .... Efficient and effective ad-hoc search using structured and unstructured geospatial information. Web search is a key enabling technology in the information age. However two technologies, ubiquitous mobile devices and massive structured data repositories such as those used to maintain social networking sites, are changing user expectations about how and what should be searched. A key challenge in the research community is how to integrate structured and unstructured information to improve the quality of search. This project proposes new approaches to ranked retrieval for location-aware search. In particular, it presents a plan to combine state-of-the-art research from two domains: spatial keyword search in databases, and ad-hoc search in Information Retrieval to improve the quality of search results.
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    Funded Activity

    Discovery Projects - Grant ID: DP160104058

    Funder
    Australian Research Council
    Funding Amount
    $295,000.00
    Summary
    Scalable Cross-Media Hashing for Searching Heterogeneous Data Sources. This project aims to use novel indexing and search approaches to realise the value of multimedia data. The ever-increasing availability and heterogeneity of multimedia data are calling for new approaches to search information across different media types and data sources. This project aims to enable accurate and real-time cross-media searches from billions of multimedia objects collected from various media sources by tackling .... Scalable Cross-Media Hashing for Searching Heterogeneous Data Sources. This project aims to use novel indexing and search approaches to realise the value of multimedia data. The ever-increasing availability and heterogeneity of multimedia data are calling for new approaches to search information across different media types and data sources. This project aims to enable accurate and real-time cross-media searches from billions of multimedia objects collected from various media sources by tackling the heterogeneity and scalability issues. Expected outcomes include scalable cross-media hashing techniques to capture implicit correlations existing in heterogeneous data and embed high-dimensional features into short binary codes; new binary code indexing and ranking schemes to further improve search speed and quality; and a large-scale cross-media system to evaluate methods and demonstrate the practical value.
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    Funded Activity

    Discovery Projects - Grant ID: DP170102726

    Funder
    Australian Research Council
    Funding Amount
    $337,000.00
    Summary
    Continuous and summarised search over evolving heterogeneous data. The project aims to design a search engine that monitors and retrieves over multiple social media and micro-blogging platforms. The engine presents search results in a personalised continuously updated summary. An inverted index structure systematically captures and provides easy access to all monitored content, including text, linked and relational data. The structure enables a continuous search paradigm that tracks updates on b .... Continuous and summarised search over evolving heterogeneous data. The project aims to design a search engine that monitors and retrieves over multiple social media and micro-blogging platforms. The engine presents search results in a personalised continuously updated summary. An inverted index structure systematically captures and provides easy access to all monitored content, including text, linked and relational data. The structure enables a continuous search paradigm that tracks updates on both the content and popularity of search results. This is expected to help organisations and governments track, understand and exploit social media.
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    Funded Activity

    Discovery Projects - Grant ID: DP170102231

    Funder
    Australian Research Council
    Funding Amount
    $416,000.00
    Summary
    Trajectory data processing: Spatial computing meets information retrieval. This project aims to develop multi-stage retrieval systems which leverage structured and unstructured data processing to efficiently and effectively search spatial, temporal and textual data collections. Search in heterogeneous data collections is an important research problem. In particular, spatial computing is a growth area as the quantity and quality of GPS data collected in multiple domains has significantly increase .... Trajectory data processing: Spatial computing meets information retrieval. This project aims to develop multi-stage retrieval systems which leverage structured and unstructured data processing to efficiently and effectively search spatial, temporal and textual data collections. Search in heterogeneous data collections is an important research problem. In particular, spatial computing is a growth area as the quantity and quality of GPS data collected in multiple domains has significantly increased in recent years. Possible benefits from research advances derived from this project include disaster/event recognition and monitoring, monitoring of endangered species, farming and agriculture to increase crop yields and reduce cost, and minimising fuel consumption and greenhouse-gas emissions.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT120100718

    Funder
    Australian Research Council
    Funding Amount
    $778,976.00
    Summary
    Realising the value of mobile videos with context awareness. Innovative approaches to analysing online video content and context will lead to new ways of interacting with video in the mobile world. This project will aim to develop real-time mobile systems for enabling rich and highly dynamic digital video experiences through context-aware indexing, retrieval and consumption of mobile videos.
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    Showing 1-5 of 5 Funded Activites

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