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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F12%3A00057505%21RIV13-GA0-14330___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Metric space is a universal and versatile model of similarity that can be applied in various areas of non-text information retrieval. However, a general, efficient and scalable solution for metric data management is still a resisting research challenge. In this work, we try to make an important step towards such management system that would be able to scale to data collections of billions of objects. We propose a distributed index structure for similarity data management called the Metric Index (M-Index) which can answer queries in precise and approximate manner. This technique can take advantage of any distributed hash table that supports interval queries and utilize it as an underlying index. We have performed numerous experiments to test various settings of the M-Index structure and we have proved its usability by developing a full-featured publicly-available Web application. Metric space is a universal and versatile model of similarity that can be applied in various areas of non-text information retrieval. However, a general, efficient and scalable solution for metric data management is still a resisting research challenge. In this work, we try to make an important step towards such management system that would be able to scale to data collections of billions of objects. We propose a distributed index structure for similarity data management called the Metric Index (M-Index) which can answer queries in precise and approximate manner. This technique can take advantage of any distributed hash table that supports interval queries and utilize it as an underlying index. We have performed numerous experiments to test various settings of the M-Index structure and we have proved its usability by developing a full-featured publicly-available Web application.
dcterms:title
Large-scale similarity data management with distributed Metric Index Large-scale similarity data management with distributed Metric Index
skos:prefLabel
Large-scale similarity data management with distributed Metric Index Large-scale similarity data management with distributed Metric Index
skos:notation
RIV/00216224:14330/12:00057505!RIV13-GA0-14330___
n7:predkladatel
n15:orjk%3A14330
n3:aktivita
n17:P
n3:aktivity
P(GAP103/10/0886), P(GPP202/10/P220), P(VF20102014004)
n3:cisloPeriodika
5
n3:dodaniDat
n12:2013
n3:domaciTvurceVysledku
n5:8876398 n5:3165647 n5:3445771
n3:druhVysledku
n18:J
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
146462
n3:idVysledku
RIV/00216224:14330/12:00057505
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Distributed data structures; Performance tuning; Similarity search; Scalability; Peer-to-peer structured networks; Metric space
n3:klicoveSlovo
n11:Peer-to-peer%20structured%20networks n11:Performance%20tuning n11:Metric%20space n11:Similarity%20search n11:Scalability n11:Distributed%20data%20structures
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[7338E5189A7A]
n3:nazevZdroje
Information Processing and Management
n3:obor
n4:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n14:VF20102014004 n14:GAP103%2F10%2F0886 n14:GPP202%2F10%2FP220
n3:rokUplatneniVysledku
n12:2012
n3:svazekPeriodika
48
n3:tvurceVysledku
Novák, David Batko, Michal Zezula, Pavel
n3:wos
000307682100005
s:issn
0306-4573
s:numberOfPages
18
n10:doi
10.1016/j.ipm.2010.12.004
n13:organizacniJednotka
14330