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Statements

Subject Item
n2:RIV%2F00216224%3A14610%2F05%3A00013400%21RIV10-AV0-14610___
rdf:type
skos:Concept n6:Vysledek
dcterms:description
Similarity search in metric spaces represents an important paradigm for content-based retrieval of many applications. Existing centralized search structures can speed-up retrieval, but they do not scale up to large volume of data because the response time is linearly increasing with the size of the searched file. The proposed GHT* index is a scalable and distributed structure. By exploiting parallelism in a dynamic network of computers, the GHT* achieves practically constant search time for similarity range queries in data-sets of arbitrary size. The structure also scales well with respect to the growing volume of retrieved data. Moreover, a small amount of replicated routing information on each server increases logarithmically. At the same time, the potential for interquery parallelism is increasing with the growing data-sets because the relative number of servers utilized by individual queries is decreasing. Similarity search in metric spaces represents an important paradigm for content-based retrieval of many applications. Existing centralized search structures can speed-up retrieval, but they do not scale up to large volume of data because the response time is linearly increasing with the size of the searched file. The proposed GHT* index is a scalable and distributed structure. By exploiting parallelism in a dynamic network of computers, the GHT* achieves practically constant search time for similarity range queries in data-sets of arbitrary size. The structure also scales well with respect to the growing volume of retrieved data. Moreover, a small amount of replicated routing information on each server increases logarithmically. At the same time, the potential for interquery parallelism is increasing with the growing data-sets because the relative number of servers utilized by individual queries is decreasing.
dcterms:title
Similarity Grid for Searching in Metric Spaces Similarity Grid for Searching in Metric Spaces
skos:prefLabel
Similarity Grid for Searching in Metric Spaces Similarity Grid for Searching in Metric Spaces
skos:notation
RIV/00216224:14610/05:00013400!RIV10-AV0-14610___
n3:aktivita
n13:P
n3:aktivity
P(1ET100300419)
n3:dodaniDat
n15:2010
n3:domaciTvurceVysledku
n4:8876398 n4:3165647
n3:druhVysledku
n11:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
542624
n3:idVysledku
RIV/00216224:14610/05:00013400
n3:jazykVysledku
n9:eng
n3:klicovaSlova
distributed data; scalable structures; similarity search; metric space
n3:klicoveSlovo
n12:metric%20space n12:similarity%20search n12:distributed%20data n12:scalable%20structures
n3:kontrolniKodProRIV
[BB6441A4C55D]
n3:mistoKonaniAkce
Cagliari
n3:mistoVydani
Berlin
n3:nazevZdroje
Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures: 6th Thematic Workshop of the EU Network of Excellence DELOS. Revised Selected Papers. LNCS 3664
n3:obor
n19:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n7:1ET100300419
n3:rokUplatneniVysledku
n15:2005
n3:tvurceVysledku
Zezula, Pavel Batko, Michal Gennaro, Claudio
n3:typAkce
n10:WRD
n3:wos
000232268700003
n3:zahajeniAkce
2004-06-24+02:00
s:numberOfPages
20
n14:hasPublisher
Springer-Verlag. Heidelberg
n18:isbn
3-540-28711-6
n21:organizacniJednotka
14610