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2008 Eighth International Conference on Peer-to-Peer Computing
P2P Information Retrieval and Filtering with MAPS
September 08-September 11
ISBN: 978-0-7695-3318-6
ASCII Text
x 
 
Christian Zimmer, Johannes Heinz, Christos Tryfonopoulos, Gerhard Weikum, "P2P Information Retrieval and Filtering with MAPS," Peer-to-Peer Computing, IEEE International Conference on, pp. 84-85, 2008 Eighth International Conference on Peer-to-Peer Computing, 2008.
 
 
BibTex
x
 
@article{ 10.1109/P2P.2008.44,
author = {Christian Zimmer and Johannes Heinz and Christos Tryfonopoulos and Gerhard Weikum},
title = {P2P Information Retrieval and Filtering with MAPS},
journal ={Peer-to-Peer Computing, IEEE International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3318-6},
pages = {84-85},
doi = {http://doi.ieeecomputersociety.org/10.1109/P2P.2008.44},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Peer-to-Peer Computing, IEEE International Conference on
TI - P2P Information Retrieval and Filtering with MAPS
SN - 978-0-7695-3318-6
SP84
EP85
A1 - Christian Zimmer,
A1 - Johannes Heinz,
A1 - Christos Tryfonopoulos,
A1 - Gerhard Weikum,
PY - 2008
KW - information retrieval
KW - information filtering
KW - publish/subscribe
KW - P2P
KW - peer-to-peer
KW - DHT
KW - MAPS
VL - 0
JA - Peer-to-Peer Computing, IEEE International Conference on
ER -
 
In this demonstration paper we present MAPS, a novel system that combines approximate information retrieval and filtering functionality in a peer-to-peer setting. In MAPS, a user is able to submit one-time and continuous queries, and receive matching resources and notifications from selected information sources. The selection of these sources in the retrieval case is based on well-known resource selection techniques for peer-to-peer query routing, while in the filtering case a combination of resource selection and novel behavior prediction techniques using time-series analysis of publisher statistics is used. The integration of the two functionalities is done in a seamless way utilizing the same machinery: a conceptually global, but physically distributed directory of statistics about information sources based on distributed hash tables.
Index Terms:
information retrieval, information filtering, publish/subscribe, P2P, peer-to-peer, DHT, MAPS
Citation:
Christian Zimmer, Johannes Heinz, Christos Tryfonopoulos, Gerhard Weikum, "P2P Information Retrieval and Filtering with MAPS," p2p, pp.84-85, 2008 Eighth International Conference on Peer-to-Peer Computing, 2008
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