Detailed Information on Publication Record
2004
Similarity Search in P2P Networks
BATKO, MichalBasic information
Original name
Similarity Search in P2P Networks
Name in Czech
Podobnostní hledání v P2P sítích
Authors
BATKO, Michal (203 Czech Republic, guarantor)
Edition
Heraklion, Proceedings of the PhD Wokshops of the EDBT and ICDE Conferences, p. 51-60, 10 pp. 2004
Publisher
Crete University Press
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
20206 Computer hardware and architecture
Country of publisher
Greece
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14610/04:00010209
Organization unit
Institute of Computer Science
ISBN
960-524-177-3
Keywords in English
P2P; distributed data; scalable structures; similarity search; metric space
Tags
International impact, Reviewed
Změněno: 7/12/2005 10:53, RNDr. Michal Batko, Ph.D.
V originále
we address the problem of scalable distributed similarity searching. Our work is based on single-site metric space indexing algorithms. They provide efficient way to perform range and nearest neighbor queries on arbitrary data in general metric spaces. The metric spaces are excellent abstraction that allows comparison of very complex objects (such as audio files, DNA sequences, texts). We have exploited the SDDS (Scalable and Distributed Data Structures) paradigms and P2P (Peer to Peer) systems to form a metric space similarity searching structure in distributed environment. Our proposed method is fully scalable without any centralized part and it allows performing similarity queries on stored data.
In Czech
Tento článek popisuje indexační metodu pro podobnostní hledaní s využitím peer-to-peer sítě.
Links
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