Trajectory data processing: Spatial computing meets information retrieval

轨迹数据处理：空间计算与信息检索的结合

• 批准号: DP170102231
• 负责人: Dr Timoleon Sellis
• 金额: $ 29.09万
• 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: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170102231
• 关键词: Trajectory; data; processing; Spatial; computing

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.

该项目旨在开发多阶段检索系统，利用结构化和非结构化数据处理来高效和有效地搜索空间，时间和文本数据集合。异构数据集的检索是一个重要的研究课题。特别是，空间计算是一个增长领域，因为近年来在多个领域收集的全球定位系统数据的数量和质量都有显著提高。该项目的研究进展可能带来的好处包括灾害/事件识别和监测，监测濒危物种，农业和农业，以增加作物产量和降低成本，并最大限度地减少燃料消耗和温室气体排放。