EIDOS (Efficiently Inducing Definitions for Online Sources) is a system for learning semantic descriptions of online information sources (such as these RSS feeds). The descriptions are used to automatically integrate the sources into (mediator based) information integration systems. A complete description of the purpose and functionality of the system can be found in my thesis. You can also have a look at the slides I presented at my defense. The software can be downloaded from the ISI website. It is royalty-free for research purposes and comes with all the source code. Here is the latest documentation. Feel free to contact me with installation questions.
I have a research blog, which I post my papers, presentations and thoughts to occasionally. Otherwise, I recommend the blogs of a number of other computer science researchers:
Greg Linden, Matthew Hurst, Paolo Massa, Jonathan Elsas, Alon Halevy, William Cohen, Panos Ipeirotis.
I grew up in Adelaide, Australia.
In 1995, I received an Australian Student's Prize upon graduating from high school.
In 1998, I went on exchange to the University of Stuttgart in Germany, where I met my wife Daniela (who is from Piacenza, Italy).
In 1999, I received a Bachelor's Degree in Electrical & Electronic Engineering and Arts from the University of Adelaide.
In 2000, I worked for the E-Commerce division of Telstra Research Labs in Sydney.
In 2001, I moved to Trento in Italy to work at IRST (now Fondazione Bruno Kessler) in the Automated Reasoning Systems division.
In 2005, I moved to Los Angeles to work at the Information Sciences Institute of the University of Southern California.
In 2006, I received a Ph.D. in Computer Science from the University of Trento in Italy.
In 2007, I started a PostDoc position in the Informatics Faculty of the University of Lugano in Switzerland.
In November 2010, I moved back to Australia, but this time to Melbourne, to take up a Lecturer position at Monash University.