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

dc.creatorLadwig, Günter
dc.date.accessioned2021-02-23T15:40:53Z
dc.date.accessioned2022-09-23T18:13:16Z
dc.date.available2021-02-23T15:40:53Z
dc.date.available2022-09-23T18:13:16Z
dc.date.created2021-02-23T15:40:53Z
dc.identifier9783731500155
dc.identifierhttps://directory.doabooks.org/handle/20.500.12854/45905
dc.identifierhttp://hdl.handle.net/20.500.12010/17657
dc.identifier10.5445/KSP/1000034423
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3497559
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.
dc.languageeng
dc.publisherKIT Scientific Publishing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectQuery optimizationgraph-structured
dc.subjectDatardfsemantic webindexes
dc.titleEfficient Optimization and Processing of Queries over Text-rich Graph-structured Data


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