These projects all relate to data.
My background is in databases, so I address the topics from a database perspective.
- Security of data in novel areas. In the database world, it is possible to
define who can access each piece of data.
This project investigates whether it is possible and/or practical to apply
database security techniques to other areas, e.g., the web.
- People need to integrate or merge information, e.g., when companies
merge, integrating engineering specifications, gathering information from
disparate web sites and displaying it on a common web site.
Usually the data or documents were not designed to be integrated so the same concepts
in different contexts may have different names and/or different structure.
The aim of this project is to build a system that provides a visual
representation of the documents or data to be integrated, does automatic
matching where possible, allows the user to define other matches, and checks
whether the resulting common view is valid. The final output of the system
would be a common view of the data or documents.
- Mining for patterns in data.
There has been a lot of work carried out on data mining in the relational database
area. We are interested in investigating different kinds of mining, e.g., change mining,
and different contexts, e.g., stream mining.