Information Retrieval and Filtering over Self-organising Digital Libraries

We present iCLUSTERDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iCLUSTERDL is able to handle huge amounts of data provided by digital libraries in a distributed and self-organising way. The two-tier architecture and the use of semantic overlay networks provide an infrastructure for creating large networks of digital libraries that require minimum administration, yet offer a rich set of tools to the end-user. We present the main components of our architecture, the protocols that regulate peer interactions, and an experimental evaluation that shows the efficiency, and the retrieval and filtering effectiveness of our approach.