Research Grant
[Cite as https://purl.org/au-research/grants/arc/FT170100128]Researchers: Ying Zhang (Future Fellowship)
Brief description Effective, efficient and scalable processing of big geo-textual streams. 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.
Funding Amount $816,000
Funding Scheme ARC Future Fellowships
- ARC : FT170100128
- PURL : https://purl.org/au-research/grants/arc/FT170100128
