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- * Benchmarking and Performance * Database Performance and Evaluation11 KB (1,527 words) - 10:03, 19 February 2021
- * Benchmarking and Performance * Database Performance and Evaluation6 KB (747 words) - 10:06, 19 February 2021
- * Performance and Benchmarking * Query Languages and User Interfaces9 KB (1,249 words) - 08:42, 7 October 2011
- |Title=ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints |Subject=Adaptive Query Processing7 KB (1,018 words) - 21:53, 11 July 2018
- ...o uses query rewriting and cost-based query optimization to speed-up query execution. ...by different SPARQL endpoints. Also, we will investigate generalizing the query patterns that can be handled and blank nodes and identity relationships acr4 KB (659 words) - 22:15, 11 July 2018
- ...istributed SPARQL querying approach. Furthermore, we propose to extend the query planning algorithm with qualitative statistical information. We empirically ...ed utility function. To our knowledge, Avalanche is the first Semantic Web query system that makes no assumptions about the data distribution whatsoever. Wh8 KB (1,243 words) - 22:18, 11 July 2018
- ...ge the full potential of the Semantic Web it is necessary to transparently query distributed RDF data sources in the same way as it has been possible with f ...mating the costs of query execution plans. We have implemented SPLENDID, a query optimization strategy for federating SPARQL endpoints based on statistical6 KB (880 words) - 22:31, 11 July 2018