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@misc{798222,
author = {Sedmidubský, Jan},
address = {Brno},
keywords = {similarity search; self-organizing systems},
language = {eng},
location = {Brno},
isbn = {978-80-7355-082-0},
publisher = {Ing. Zdeněk Novotný, CSc.},
title = {A Self-organizing System for Large-scale Content-based Information Retrieval},
year = {2008}
}
TY - GEN
ID - 798222
AU - Sedmidubský, Jan
PY - 2008
TI - A Self-organizing System for Large-scale Content-based Information Retrieval
VL - MEMICS proceedings
PB - Ing. Zdeněk Novotný, CSc.
CY - Brno
SN - 9788073550820
KW - similarity search
KW - self-organizing systems
N2 - We propose a self-organizing system for content-based information retrieval which operates in an ordinary peer-to-peer network. The system is universal and allows us to search for various data types, e.g. multimedia, because we use the metric space data model. The self-organization of the network is obtained by using the social-network paradigm. The connections among peers in the network are created as social-network relationships formed on the basis of a query-and-answer principle. The knowledge of answers to previous queries is exploited to fast navigate to peers, possibly containing the most relevant answers to new queries. At the same time, a randomized mechanism is used to explore new and unvisited parts of the network to provide sufficient information for future exploitation. The proposed concepts are verified using a network consisting of 2,000 peers containing descriptive features of 10 million images from CoPhIR collection.
ER -
SEDMIDUBSKÝ, Jan. \textit{A Self-organizing System for Large-scale Content-based Information Retrieval}. Brno: Ing. Zdeněk Novotný, CSc., 2008. MEMICS proceedings. ISBN~978-80-7355-082-0.
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