Next Generation Spatial Data Management for Virtual Spatial Systems

虚拟空间系统的下一代空间数据管理

• 批准号: DP230101534
• 负责人: A/Prof Jianzhong Qi
• 金额: $ 33.82万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230101534
• 关键词: Next; Generation; Spatial; Data; Management

This project aims to design novel spatial data retrieval methods for efficient and accurate querying of large datasets with location information. Spatial data is being generated at an unprecedented rate due to the prevalence of mobile devices and ubiquitous connectivity. However, harnessing this data is hampered by outdated and inefficient methods. The project will investigate data retrieval methods that self-optimise for high query efficiency and accuracy, by utilising underlying real-world data patterns. It will enable novel applications for virtual spatial systems with large-scale querying needs, such as spatial digital twins and metaverses, benefiting location-based service providers, urban planners, and emergency management agencies.

该项目旨在设计新颖的空间数据检索方法，以有效和准确地查询具有位置信息的大型数据集。由于移动的设备的普及和无处不在的连接，空间数据正在以前所未有的速度生成。然而，利用这些数据受到过时和低效方法的阻碍。该项目将研究数据检索方法，通过利用底层的真实世界数据模式，自我优化以提高查询效率和准确性。它将为具有大规模查询需求的虚拟空间系统提供新的应用程序，例如空间数字孪生和虚拟宇宙，使基于位置的服务提供商，城市规划者和应急管理机构受益。