Adaptive Approximate Similarity Searching through Metric Social Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F08%3A00040337" target="_blank" >RIV/00216224:14330/08:00040337 - 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
Adaptive Approximate Similarity Searching through Metric Social Networks
Original language description
Exploiting the concepts of social networking represents a novel approach to the approximate similarity query processing. We present a metric social network where relations between peers, giving similar results, are established on per-query basis. Based on the universal law of generalization, a new query forwarding algorithm is proposed. The same principle is used to manage query histories of individual peers with the possibility to tune the tradeoff between the extent of the history and the level of thequery-answer approximation. All algorithms are tested on real data and real network of computers.
Czech name
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Czech description
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Project
<a href="/en/project/1ET100300419" target="_blank" >1ET100300419: Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)</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

Article name in the collection
24th International Conference on Data Engineering (ICDE 2008)
ISBN
978-1-4244-1836-7
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Los Alamitos CA
Event location
Cancun
Event date
Apr 7, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000257282600175

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