FALCHI, Fabrizio, Claudio GENNARO and Pavel ZEZULA. Nearest neighbor search in metric spaces through Content-Addressable Networks. Information Processing and Management. ELSEVIER, 2007, 43/2007, No 1, p. 665-683, 18 pp. ISSN 0306-4573.
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Basic information
Original name Nearest neighbor search in metric spaces through Content-Addressable Networks
Name in Czech Hledání nejbližších sousedů v metrických prostorech pomocí sítí adresovatelných obsahem
Authors FALCHI, Fabrizio (380 Italy), Claudio GENNARO (380 Italy) and Pavel ZEZULA (203 Czech Republic, guarantor).
Edition Information Processing and Management, ELSEVIER, 2007, 0306-4573.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.500
RIV identification code RIV/00216224:14330/07:00024126
Organization unit Faculty of Informatics
UT WoS 000244618900008
Keywords in English similarity search; scalability; peer-to-peer architecture; nearest neigbor; content addressing
Tags content addressing, nearest neigbor, peer-to-peer architecture, scalability, similarity search
Tags International impact, Reviewed
Changed by Changed by: prof. Ing. Pavel Zezula, CSc., učo 47485. Changed: 23/6/2009 09:28.
Abstract
Most of the peer-to-peer search techniques proposed in the recent years have focused on the single-key retrieval. However, similarity search in metric spaces represents an important paradigm for content-based retrieval in many applications. In this paper we introduce an extension of the well-known Content-Addressable Network paradigm to support storage and retrieval of more generic metric space objects.
Abstract (in Czech)
Článek se yaměřuje na techniky hledání nejbližších sousedů v metrických prostorech pomocí sítí adresovatelných obsahem. Jedná se o techniky P2P v kombinaci s podobnostním hledáním.
Links
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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