York University's web site has been crawled. The data was then manipulated (or added to) using Open Calais - although I still have to leave that cooking a while longer. And then using the Google Visualisation API I created a tag cloud of what are called the top "social tags" for the semantic information.
The entities returned look really interesting. I need to find out how they relate to each other and how I can find connections between peoples.
The next step is to clean up the code. Make it semi-functional so at very least you can explore the data and then put it into Google Code ... with some instructions! Which will look something like this...
1. Install Django and dependencies
2. crawl (http://www.york.ac.uk)
3. analyze()
4. ./manage.py runserver
What a week...
