バージョン 38 から バージョン 39 における更新: ~FederatedBench

更新日時:

2015/01/16 14:56:39 (9 年 前)

更新者:

wu

コメント:

--

~FederatedBench

@@ -23 +23 @@
 
 === Overview === #overview
-Most of RDF data is available via SPARQL endpoints. A federated query, querying RDF data across multiple sources, is indispensable in comprehending biological process, diseases, medicine development ,and also biological data integration. Querying RDF data via SPARQL endpoints can be processed based on the original date sources.  We Evaluate whether the existing federated SPARQL endpoint query systems can satisfy the requirements(mainly, response performance) of the big life sciences data.
+A federated query, querying RDF data across multiple sources, is indispensable in comprehending biological process, diseases, medicine development ,and also biological data integration. Querying RDF data via SPARQL endpoints can be processed based on the original date sources.  We Evaluate whether the existing federated SPARQL endpoint query systems can satisfy the requirements(mainly, response performance) of the big life sciences data.
 
 Different from Fedbench,SP2Bench, and the fine-grained evaluation of SPARQL endpoint federation systems, all of which use a simulated federated environment, and synthetic data or subset of real data. Their result set is small, which can not show the performance when the retrieved data are big. In addition, whether we can directly execute SPARQL 1.1 query without using the federated query engines is also unreported.  In this report, we use the real life science data and the real endpoints. We test FedX,SPLENDID,ADERIS,ANAPSID. We also report the performance of SPARQL 1.1 queries with and without these engines.