The NeuroGrid system currently under development consists of two main elements: a learning engine that observes user activity and updates documents meta-data accordingly, and an approach to routing search messages in distributed, decentralized networks. The NeuroGrid approach stems from two basic desires. One is to have the ability to organise data in an associative, web-like fashion (as opposed to the hierarchical structure we see in file-systems). The second is to be able to extract that data from a large distributed network environment with the minimum of effort. NeuroGrid tries to provide a more general semantic framework than that of FreeNet by creating and maintaining lists of which queries other nodes have been good at answering in the past. A Position Paper, White Paper and online demonstration are available for review.
Date Listed: 05/04/2001