Effective, efficient and scalable processing of big geo-textual streams

对大型地理文本流进行有效、高效且可扩展的处理

• 批准号: FT170100128
• 负责人: Prof Ying Zhang
• 金额: $ 57.13万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-12-06 至 2021-12-05
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT170100128
• 关键词: Effective; efficient; scalable; processing; big

This project aims to develop novel approaches to realise the value of geo-textual data, which carries both location and textual information. The project expects to address three key challenges brought by massive volumes and high speeds of big geo-textual streams: better user experiences; increased efficiency; and greater scalability in query processing. The project should provide individuals, business and government agencies with the ability to unlock key values in the overwhelming volume of high-speed, big geo-textual streams for important usage in many emerging key applications, such as social media analytics, location-based services, social networks, e-marketing and cybersecurity.

该项目旨在开发新的方法来实现地理文本数据的价值，地理文本数据同时携带位置和文本信息。该项目预计将解决大容量和高速度的大地理文本流带来的三个关键挑战：更好的用户体验；更高的效率；以及更大的查询处理可扩展性。该项目应该使个人、企业和政府机构能够在铺天盖地的高速大型地理文本流中解锁关键价值，用于许多新兴的关键应用程序，如社交媒体分析、基于位置的服务、社交网络、电子营销和网络安全。