ALVIS peers: a scalable full-text peer-to-peer retrieval engine

  • Authors:
  • Toan Luu;Fabius Klemm;Ivana Podnar;Martin Rajman;Karl Aberer

  • Affiliations:
  • Ecole Polytechnique Fédérale de Lausanne (EPFL);Ecole Polytechnique Fédérale de Lausanne (EPFL);Ecole Polytechnique Fédérale de Lausanne (EPFL);Ecole Polytechnique Fédérale de Lausanne (EPFL);Ecole Polytechnique Fédérale de Lausanne (EPFL)

  • Venue:
  • P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
  • Year:
  • 2006

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Abstract

We present Alvis peers, a full-text P2P retrieval engine designed to offer retrieval performance comparable to centralized solutions while scaling to a very large number of peers. It is the result of our research efforts within the project Alvis1 European FP 6 STREP project ALVIS, http://www.alvis.info/ that aims at building a truly-distributed semantic search engine. To cope with problem of unscalable bandwidth consumption in the P2P network, the engine implements a novel retrieval model that indexes highly-discriminative keys (HDKs)---terms and term sets appearing in a limited number of collection documents. Our prototype is a fully-functional retrieval engine built over a structured P2P network. It includes a component for HDK based indexing and retrieval, and a distributed content-based ranking module. Such an integrated system represents a substantial contribution to the design and development of realistic P2P retrieval systems.