This HTML5 document contains 45 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n20http://localhost/temp/predkladatel/
n15http://purl.org/net/nknouf/ns/bibtex#
n18http://linked.opendata.cz/resource/domain/vavai/projekt/
n10http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n12http://linked.opendata.cz/ontology/domain/vavai/
n14https://schema.org/
n17http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216224%3A14330%2F05%3A00013399%21RIV10-AV0-14330___/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n13http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F05%3A00013399%21RIV10-AV0-14330___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas. Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed. The proliferation of information housed in computerized domains makes it vital to find tools to search these resources efficiently and effectively. Ordinary retrieval techniques are inadequate because sorting is simply impossible. Consequently, proximity searching has become a fundamental computation task in a variety of application areas. Similarity Search focuses on the state of the art in developing index structures for searching the metric space. Part I of the text describes major theoretical principles, and provides an extensive survey of specific techniques for a large range of applications. Part II concentrates on approaches particularly designed for searching in large collections of data. After describing the most popular centralized disk-based metric indexes, approximation techniques are presented as a way to significantly speed up search time at the cost of some imprecision in query results. Finally, the scalable and distributed metric structures are discussed.
dcterms:title
Similarity Search: The Metric Space Approach Similarity Search: The Metric Space Approach
skos:prefLabel
Similarity Search: The Metric Space Approach Similarity Search: The Metric Space Approach
skos:notation
RIV/00216224:14330/05:00013399!RIV10-AV0-14330___
n3:aktivita
n7:P
n3:aktivity
P(1ET100300419)
n3:dodaniDat
n13:2010
n3:domaciTvurceVysledku
n10:8876398 n10:3540324 n10:3165647
n3:druhVysledku
n8:B
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
542625
n3:idVysledku
RIV/00216224:14330/05:00013399
n3:jazykVysledku
n9:eng
n3:klicovaSlova
similarity search; metric space; index structures; scalability; performance evaluation
n3:klicoveSlovo
n6:similarity%20search n6:performance%20evaluation n6:scalability n6:index%20structures n6:metric%20space
n3:kontrolniKodProRIV
[C5EDBCA0D54A]
n3:mistoVydani
New York, NY 10013, USA
n3:nazevEdiceCisloSvazku
Advances in Database Systems, Vol. 32
n3:nazevZdroje
Similarity Search: The Metric Space Approach
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetStranKnihy
220
n3:pocetTvurcuVysledku
4
n3:projekt
n18:1ET100300419
n3:rokUplatneniVysledku
n13:2005
n3:tvurceVysledku
Batko, Michal Dohnal, Vlastislav Zezula, Pavel Amato, Giuseppe
s:numberOfPages
220
n15:hasPublisher
Springer-Verlag
n14:isbn
0-387-29146-6
n20:organizacniJednotka
14330