Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP140103499]Researchers: Prof Chengfei Liu (Chief Investigator)
Brief description On Effectively Answering Why and Why-not Questions in Databases. While the performance and functionality of database systems have gained dramatic improvement, research on improving usability still remains far behind, which results in huge cost of technical support to organisations. This project aims to improve the usability of database systems by effectively answering users' why and why-not questions on query results. This project will invent a novel and generalised model for expressing both the why and why-not questions, efficient strategies for answering questions for complex queries and databases, and novel solutions to scenarios that involve multiple queries. The project will contribute greatly to the fundamental research in query refinement and deliver significant impact on related technology development.
Funding Amount $373,250
Funding Scheme Discovery Projects
- ARC : DP140103499
- PURL : https://purl.org/au-research/grants/arc/DP140103499
