Information Retrieval and Filtering over Self-organising Digital Libraries

Authors:
Paraskevi Raftopoulou;Euripides G. Petrakis;Christos Tryfonopoulos;Gerhard Weikum
Affiliations:
Technical University of Crete, Chania, Crete, Greece 73100 and Max-Planck Institute for Informatics, Saarbruecken, Germany 66123;Technical University of Crete, Chania, Crete, Greece 73100;Max-Planck Institute for Informatics, Saarbruecken, Germany 66123;Max-Planck Institute for Informatics, Saarbruecken, Germany 66123
Venue:
ECDL '08 Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries
Year:
2008

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Abstract

We present iClusterDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iClusterDLis 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.