Journal article
Spatio-Temporal Database Research at the University of Melbourne
E Tanin, R Zhang, L Kulik
SIGMOD Record | ASSOC COMPUTING MACHINERY | Published : 2009
Abstract
The spatio-temporal database research group at the University of Melbourne focuses on introducing new techniques for distributed systems such as mobile and ubiquitous systems as well as P2P networks. Our approach is to exploit the spatial and temporal nature of data and queries such as motion characteristics. In this article, we discuss four major themes and projects of the group: (i) nearest neighbor queries, (ii) temporal data processing and continuous queries, (iii) P2P spatial data management, and (iv) location privacy. The group is supported by funding from the Australian Research Council and the National ICT Australia Victoria Research Laboratory.
Grants
Funding Acknowledgements
we would like to acknowledge the efforts of our students as well as our co-authors. In particular, we thank our students Sarana Nutanong, Muhammad Umer, Tanzima Hashem, Mohammed Eunus Ali, Hairuo Xie, Dana Zhang, Martin Stradling, Parvin Asadzadeh-Birjandi, Mei Ma, Pu Zhou, Elizabeth Antoine, and our research fellows Dr Jie Shao, Dr Xiaoyan Liu. We also thank our co-authors Professor Hanan Samet, Professor Elisa Bertino, Dr David Lomet, Professor Ben Shneiderman, Dr Aaron Harwood, Dr Dan Lin, and Dr Matt Duckham. We would like to acknowledge colleagues at the Department, in particular, Professor Rao Kotagiri for his mentoring and Associate Professor Chris Leckie for his valueable comments. Finally, we thank agencies Australian Research Council, A. E. Rowden White Foundation, and NICTA VRL for funding multiple grants and projects.