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{{Publikation Details
 
|Abstract=Client-side query processing techniques that rely on the materialization of fragments of the original RDF dataset provide a promising solution for Web query processing. However, because of unexpected data transfers, the traditional optimize-then-execute paradigm, used by exist- ing approaches, is not always applicable in this context, i.e., performance of client-side execution plans can be negatively affected by live conditions where rate at which data arrive from sources change. We tackle adaptivity for client-side query processing, and present a network of Linked Data Eddies that is able to adjust query execution schedulers to data avail- ability and runtime conditions. Experimental studies suggest that the network of Linked Data Eddies outperforms static Web query schedulers in scenarios with unpredictable transfer delays and data distributions.
 
|Abstract=Client-side query processing techniques that rely on the materialization of fragments of the original RDF dataset provide a promising solution for Web query processing. However, because of unexpected data transfers, the traditional optimize-then-execute paradigm, used by exist- ing approaches, is not always applicable in this context, i.e., performance of client-side execution plans can be negatively affected by live conditions where rate at which data arrive from sources change. We tackle adaptivity for client-side query processing, and present a network of Linked Data Eddies that is able to adjust query execution schedulers to data avail- ability and runtime conditions. Experimental studies suggest that the network of Linked Data Eddies outperforms static Web query schedulers in scenarios with unpredictable transfer delays and data distributions.
|Forschungsgruppe=Wissensmanagement
+
|Download=Datei:Acosta vidal iswc2015.pdf
 +
|Link=http://link.springer.com/chapter/10.1007/978-3-319-25007-6_7#page-1
 +
|Forschungsgruppe=Web Science und Wissensmanagement
 
}}
 
}}

Version vom 29. Oktober 2015, 14:45 Uhr


Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF Data




Published: 2015 Oktober

Buchtitel: The Semantic Web – ISWC 2015
Verlag: Springer
Organisation: International Semantic Web Conference

Referierte Veröffentlichung

BibTeX

Kurzfassung
Client-side query processing techniques that rely on the materialization of fragments of the original RDF dataset provide a promising solution for Web query processing. However, because of unexpected data transfers, the traditional optimize-then-execute paradigm, used by exist- ing approaches, is not always applicable in this context, i.e., performance of client-side execution plans can be negatively affected by live conditions where rate at which data arrive from sources change. We tackle adaptivity for client-side query processing, and present a network of Linked Data Eddies that is able to adjust query execution schedulers to data avail- ability and runtime conditions. Experimental studies suggest that the network of Linked Data Eddies outperforms static Web query schedulers in scenarios with unpredictable transfer delays and data distributions.

Download: Media:Datei:Acosta vidal iswc2015.pdf
Weitere Informationen unter: Link

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NLDE


Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet