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

Many 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 processin...

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Main Author: Ladwig, Günter (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2013
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DOAB: description of the publication
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020 |a KSP/1000034423 
020 |a 9783731500155 
024 7 |a 10.5445/KSP/1000034423  |c doi 
041 0 |a English 
042 |a dc 
100 1 |a Ladwig, Günter  |4 auth 
245 1 0 |a Efficient Optimization and Processing of Queries over Text-rich Graph-structured Data 
260 |b KIT Scientific Publishing  |c 2013 
300 |a 1 electronic resource (XX, 231 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Many 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. 
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546 |a English 
653 |a query optimizationgraph-structured datardfsemantic webindexes 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/45905  |7 0  |z DOAB: description of the publication