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Resource description and selection for range query processing in general metric spaces

dc.contributor.authorBlank, Daniel
dc.contributor.authorHenrich, Andreas
dc.contributor.editorMarkl, Volker
dc.contributor.editorSaake, Gunter
dc.contributor.editorSattler, Kai-Uwe
dc.contributor.editorHackenbroich, Gregor
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorHärder, Theo
dc.contributor.editorKöppen, Veit
dc.date.accessioned2018-10-24T09:56:29Z
dc.date.available2018-10-24T09:56:29Z
dc.date.issued2013
dc.description.abstractSimilarity search in general metric spaces is a key aspect in many application fields. Metric space indexing provides a flexible indexing paradigm and is solely based on the use of a distance metric. No assumption is made about the representation of the database objects. Nowadays, ever-increasing data volumes require large-scale distributed retrieval architectures. Here, local and global indexing schemes are distinguished. In the local indexing approach, every resource administers a set of documents and indexes them locally. Resource descriptions providing the basis for resource selection can be disseminated to avoid all resources being contacted when answering a query. On the other hand, global indexing schemes are based on a single index which is distributed so that every resource is responsible for a certain part of the index. For local indexing, only few exact approaches have been proposed which support general metric space indexing. In this paper, we introduce RS4MI-an exact resource selection approach for general metric space indexing. We compare RS4MI with approaches presented in literature based on a peer-to-peer scenario when searching for similar images by image content. RS4MI can outperform two exact general metric space resource selection schemes in case of range queries. Fewer resources are contacted by RS4MI with-at the same time-more space efficient resource descriptions.en
dc.identifier.isbn978-3-88579-608-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17357
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW) 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-214
dc.titleResource description and selection for range query processing in general metric spacesen
dc.typeText/Conference Paper
gi.citation.endPage112
gi.citation.publisherPlaceBonn
gi.citation.startPage93
gi.conference.date13.-15. März 2013
gi.conference.locationMagdeburg
gi.conference.sessiontitleRegular Research Papers

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