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规模和高速地理文本流带来的三个关键挑战：更好的用户体验;提高效率;以及查询处理的更大可扩展性。该项目将为个人、企业和政府机构提供在大量高速、大规模地理文本流中解锁关键价值的能力，以供在许多新兴关键应用中的重要用途，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。