Here is an encyclopaedia that writes its own pages. It’s visual as it’s online and does it own work with best accuracy. Sean Colbath who is a senior scientist at Raytheon BBN created this system with the help of other such scientists. When you look at its pages, you might feel these are Wikipedia pages written communally. But going according to stated facts these are facts, figures, events, people and information which has been concisely put up in order by computers.
This has all been built in a bid by the Pentagon to develop machines which can follow and update itself according to events and news that occurs globally. So the system accepts that it takes information from reports of intelligence analysts and global news. The prototype system has been built as a part of a non-public venture, only for intelligence agencies by the Raytheon BBN, Cambridge, Massachusetts.
The system gathers information from 40 news websites in English, Chinese and Arabic. This will eventually start covering other news sites in all major languages of the world. This will all be linked with an existing TV broadcast monitoring network in the future.
The BBN system stores in itself everything that has been written about a particular news or event. Colbath said, “I could go and read 200 articles to learn about Bashar Al-Assad (the Syrian dictator). But I’d like to have a machine tell me about it,” says Colbath. The machine knows how to put facts together and knots things together. However here lies a problem of summarizing of the text which could at times be tricky and could lead to problems in interpretation and understanding.
