The project implements a web system that visualises contents of a large digital library (e.g., a patent or paper database) in order to support interactive search and exploration of its contents. That is, our goal is to improve information accessibility by unlocking static information in libraries by making it dynamic, relational, and navigational. This general task of making sense of increasing amounts of text is important and timely in todayâ€™s information society. Most Australians use the Internet daily and digital libraries equipped with search engines have greatly extended the reach of data-driven thinking. To illustrate, the US Patent and Trademark Office alone received more than 615,000 patent applications and granted over 325,000 patents in 2014. The Lens engine indexes them as part of its 13.4 million US and 78.2 million other patent documents. As another example, the PubMed engine catalogues nearly 24 million citations for biomedical literature and, based on complete statistics from 2013, its size increases by more than 2,500 citations a day on average. We have already developed some designs and PC software for this task. Now the goal is to implement a web system for its user evaluation and real-life use.
Solid programming skills in web programming Success in the ANU course(s) of Document Analysis and/or Web Development and Design or equivalent