000126388 001__ 126388
000126388 005__ 20190316234331.0
000126388 037__ $$aCONF
000126388 245__ $$aAlvisP2P: Scalable Peer-to-Peer Text Retrieval in a Structured P2P Network
000126388 269__ $$a2008
000126388 260__ $$c2008
000126388 336__ $$aConference Papers
000126388 520__ $$aIn this paper we present the AlvisP2P IR engine, which enables efficient retrieval with multi-keyword queries from a global document collection available in a P2P network. In such a network, each peer publishes its local index and invests a part of its local computing resources (storage, CPU, bandwidth) to maintain a fraction of a global P2P index. This investment is rewarded by the network-wide accessibility of the local documents via the global search facility. The AlvisP2P engine uses an optimized overlay network and relies on novel indexing/retrieval mechanisms that ensure low bandwidth consumption, thus enabling unlimited network growth. Our demonstration shows how an easy-to-install AlvisP2P client can be used to join an existing P2P network, index local (text or even multimedia) documents with collection specific indexing mechanisms, and control access rights to them.
000126388 700__ $$aLuu, Toan
000126388 700__ $$0240003$$aSkobeltsyn, Gleb$$g155081
000126388 700__ $$0241609$$aKlemm, Fabius$$g154784
000126388 700__ $$aPuh, Maroje
000126388 700__ $$aPodnar Zarko, Ivana
000126388 700__ $$0240004$$aRajman, Martin$$g112354
000126388 700__ $$0240941$$aAberer, Karl$$g134136
000126388 7112_ $$a34th International Conference on Very Large Data Bases (VLDB)
000126388 773__ $$tProceedings of the 34th International Conference on Very Large Data Bases
000126388 8564_ $$s448421$$uhttps://infoscience.epfl.ch/record/126388/files/Luu-VLDB08.pdf$$zn/a
000126388 909C0 $$0252004$$pLSIR$$xU10405
000126388 909CO $$ooai:infoscience.tind.io:126388$$pconf$$pIC$$qGLOBAL_SET
000126388 917Z8 $$x134136
000126388 937__ $$aLSIR-CONF-2008-052
000126388 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000126388 980__ $$aCONF