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.
Umfang: XX, 231 S.
Preis: €56.00 | £51.00 | $98.00
These are words or phrases in the text that have been automatically identified by the Named Entity Recognition and Disambiguation service, which provides Wikipedia () and Wikidata () links for these entities.
Ladwig, G. 2013. Efficient Optimization and Processing of Queries over Text-rich Graph-structured Data. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000034423
Dieses Buch ist lizenziert unter Creative Commons Attribution + Noncommercial + NoDerivatives 3.0 DE Dedication
Dieses Buch ist Peer reviewed. Informationen dazu finden Sie hier
Veröffentlicht am 23. Mai 2013