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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| Format: | Electronic Book Chapter |
| Language: | English |
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KIT Scientific Publishing
2013
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 008 | 20210211s2013 xx |||||o ||| 0|eng d | ||
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| 020 | |a 9783731500155 | ||
| 040 | |a oapen |c oapen | ||
| 024 | 7 | |a 10.5445/KSP/1000034423 |c doi | |
| 041 | 0 | |a eng | |
| 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.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 546 | |a English | ||
| 653 | |a query optimizationgraph-structured datardfsemantic webindexes | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731500155 |7 0 |z DOAB: download the publication |
| 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 |