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Conference Paper

MinervaDL: An Architecture for Information Retrieval and Filtering in Distributed Digital Libraries

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Zimmer,  Christian
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Tryfonopoulos,  Christos
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Zimmer, C., Tryfonopoulos, C., & Weikum, G. (2007). MinervaDL: An Architecture for Information Retrieval and Filtering in Distributed Digital Libraries. In L. Kovács, N. Fuhr, & C. Meghini (Eds.), Research and Advanced Technology for Digital Libraries: 11th European Conference, ECDL 2007 (pp. 148-160). Berlin, Germany: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1FDE-5
Abstract
We present Minerva{DL}, a digital library architecture that supports approximate information retrieval and filtering functionality under a single unifying framework. The architecture of {M}inerva{DL} is based on the peer-to-peer search engine {M}inerva, and is able to handle huge amounts of data provided by digital libraries in a distributed and self-organizing way. The two-tier architecture and the use of the distributed hash table as the routing substrate provides an infrastructure for creating large networks of digital libraries with minimal administration costs. We discuss the main components of this architecture, present the protocols that regulate node interactions, and experimentally evaluate our approach. This work has been partly supported by the {DELOS} {N}etwork of {E}xcellence and the {EU} {I}ntegrated {P}roject {AEOLUS}.