Next-generation Intelligent Explorations of Geo-located Data

下一代地理定位数据智能探索

• 批准号: DP200102611
• 负责人: Prof Kai Qin
• 金额: $ 33.7万
• 依托单位: Swinburne University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200102611
• 关键词: Next; generation; Intelligent; Explorations; Geo

This project aims to build a next-generation intelligent exploration framework over massive geo-located data, varying from points-of-interest to areas-of-interest data, in order to dramatically enhance user experiences when interacting with various forms of geo-located data over maps. Expected outcomes include novel exploration models, efficient and scalable algorithms for retrieving and visualizing the exploration results, online updating of personal preferences during the life cycle of exploration, as well as a prototype system to evaluate and demonstrate practical value of the research. It will complement existing map services and significantly benefit many location-aware services, e.g., logistics, health services and urban planning.

该项目的目标是在海量地理位置数据(从兴趣点到感兴趣区域数据)上建立下一代智能勘探框架，以便在通过地图与各种形式的地理位置数据交互时显著增强用户体验。预期成果包括新的勘探模型、用于检索和显示勘探结果的高效和可扩展的算法、在勘探生命周期内在线更新个人偏好、以及评估和展示研究实用价值的原型系统。它将补充现有的地图服务，并显著受益于许多位置感知服务，例如物流、卫生服务和城市规划。