Efficient Optimization and Processing of Queries over Text-rich Graph-structured Data

dc.creatorLadwig, Günter
dc.date.accessioned2021-02-23T15:40:53Z
dc.date.available2021-02-23T15:40:53Z
dc.date.created2013
dc.description.abstractMany databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic of this thesis. Novel techniques are proposed that improve the whole processing pipeline, from indexes and query optimization to run-time processing. The contributions are evaluated in extensive experiments showing that the proposed techniques improve upon the state of the art.spa
dc.format.extentXX, 231 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doi10.5445/KSP/1000034423
dc.identifier.isbn9783731500155
dc.identifier.otherhttps://directory.doabooks.org/handle/20.500.12854/45905
dc.identifier.urihttps://hdl.handle.net/20.500.12010/17657
dc.language.isoengspa
dc.publisherKIT Scientific Publishingspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.localAbierto (Texto Completo)spa
dc.subjectQuery optimizationgraph-structuredspa
dc.subjectDatardfsemantic webindexesspa
dc.subject.lembProcesamiento electrónico de datosspa
dc.subject.lembAdministración de bases de datosspa
dc.subject.lembRedes semánticas (Teoría de la información)spa
dc.titleEfficient Optimization and Processing of Queries over Text-rich Graph-structured Dataspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa

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