31st December 2020*
Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.
*unless filled earlier
The rapid growth of the Internet and web applications provide an overwhelming amount of information. Benefited from online social mediums and crowd computing platforms, it is very easy to collection information from various sources nowadays. In the process of information digitisation, the information of an entity can be generated from multiple sources and the information digitised or collected might be conflicted, with different qualities and even from fake or malicious sources.
It is crucial to find out the truth (truths) of an entity from different sources which provide information about the entity. However, for many web applications are operated under uncertain and dynamic environments. There may exist no evaluation standard for information quality or ground truth, and the information sources can be dynamic.
Under such environments, the discovery and mining of truth/truths is critical. In this project, we will investigate the use of advance AI and data mining techniques in estimation trustworthiness or shared or crowd sourced information.
Applicants from the following disciplines are eligible to apply:
See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree
Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.
Information about scholarships is available on the Scholarships webpage.
Please contact, Quan Bai for further information.