Professor Gill Dobbie

Biography

Gill worked in industry for a couple of years before she became an academic. She has held permanent and visiting positions at the University of Melbourne, Victoria University of Wellington and the National University of Singapore.

Research | Current

Gill has a wide range of research interests, including databases, the web, and software engineering.

She is interested both in structured and semistructured data. More specifically, she is interested in how data can best be organized and managed, how the semantics of the data can be retained and expressed, and how querying can be carried out efficiently.

Her main areas of interest pertain to databases and the web. She has worked in the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. With colleagues at the National University of Singapore, she has defined a data model for semistructured data (called ORA-SS), providing a language independent description of the data. The group she was working with has used the ORA-SS data model to define a normal form for ORA-SS schema, defined valid views for semistructured databases, and described a storage structure for semistructured databases using object relational databases.

Selected publications and creative works (Research Outputs)

  • Venkata, S. S. K., Bharadwaj, J., Dobbie, G., & Manoharan, S. (2017). A real-time distributed hardware health monitoring framework. Proceedings of the 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2016. 10.1109/ICATCCT.2016.7911977
    Other University of Auckland co-authors: Sathiamoorthy Manoharan
  • Naeem, M. A., Dobbie, G., Lutteroth, C., & Weber, G. (2017). Skewed distributions in semi-stream joins: How much can caching help?. Information Systems, 64, 63-74. 10.1016/j.is.2016.09.007
    URL: http://hdl.handle.net/2292/33577
    Other University of Auckland co-authors: Gerald Weber
  • Alam, S., Dobbie, G., & Sun, X. B. (2017). Improving imputation accuracy in ordinal data using classification. Advances in Intelligent Systems and Computing. 10.1007/978-3-319-53480-0_5
    Other University of Auckland co-authors: Shafiq Alam
  • Jokhio, M. S., Sun, J., Dobbie, G., & Hu, T. (2016). Goal-based testing of semantic web services. Information and Software Technology10.1016/j.infsof.2016.11.011
    URL: http://hdl.handle.net/2292/32238
    Other University of Auckland co-authors: Jing Sun
  • Shi, X., Cui, B., Dobbie, G., & Ooi, B. C. (2016). UniAD. ACM Transactions on Database Systems, 42 (1), 1-42. 10.1145/3009957
  • Eckert, C., Cham, B., Li, P., Sun, J., & Dobbie, G. (2016). Linking Design Model with Code. International Journal of Software Engineering and Knowledge Engineering, 26 (09n10), 1473-1491. 10.1142/S0218194016400131
    URL: http://hdl.handle.net/2292/32239
    Other University of Auckland co-authors: Jing Sun
  • Eckert, C., Cham, B., Sun, J., & Dobbie, G. (2016). From Design to Code: An Educational Approach. SEKE 2016, 1-6. California, Uniteed States: Knowledge Systems Institute. 10.18293/SEKE2016-007
    URL: http://hdl.handle.net/2292/29531
    Other University of Auckland co-authors: Jing Sun
  • Huang, T., Zhu, Y., Wu, Y., Bressan, S., & Dobbie, G. (2016). Anomaly detection and identification scheme for VM live migration in cloud infrastructure. Future Generation Computer Systems, 56, 736-745. 10.1016/j.future.2015.06.005

Identifiers

Contact details

Primary location

SCIENCE CENTRE - MATHPHYSIC - Bldg 303
Level 5, Room 519
38 PRINCES ST
AUCKLAND 1010
New Zealand

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