Gillian Dobbie

Gillian Dobbie worked in industry for a couple of years before lecturing and doing research at the University of Melbourne, Victoria University of Wellington and the National University of Singapore. 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. 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.

Publications

Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed ur Rehman. © 2014. 375 pages.
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in...