A Self-organizing System for Large-scale Content-based Information Retrieval

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F08%3A00029131" target="_blank" >RIV/00216224:14330/08:00029131 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A Self-organizing System for Large-scale Content-based Information Retrieval
Original language description
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 datamodel. 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.
Czech name
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Czech description
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Project
<a href="/en/project/GD102%2F05%2FH050" target="_blank" >GD102/05/H050: Integrated Approach to Education of PhD Students in the Area of Parallel and Distributed Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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