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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| Médium: | E-kniha |
| Jazyk: | angličtina |
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KIT Scientific Publishing
2013
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| ISBN: | 9783731500155, 3731500159 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Ladwig, Günter |
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| Snippet | 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... |
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| SubjectTerms | Book Industry Communication Computer science Computing & information technology QA75.5-76.95 query optimizationgraph-structured datardfsemantic webindexes |
| Title | Efficient Optimization and Processing of Queries over Text-rich Graph-structured Data |
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