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Andy Seaborne commented on MARMOTTA-177: ---------------------------------------- Slight caution about LUBM - it isn't considered to be very informative. The queries are just BGPs and the data not very connected. See also: http://sourceforge.net/projects/sparql-query-bm/ > SPARQL benchmark > ---------------- > > Key: MARMOTTA-177 > URL: https://issues.apache.org/jira/browse/MARMOTTA-177 > Project: Marmotta > Issue Type: Task > Components: Triple Store > Affects Versions: 3.0-incubating > Reporter: Jakob Frank > Assignee: Sergio Fernández > Labels: benchmark > > (copied from https://code.google.com/p/lmf/issues/detail?id=21) > As soon as the new SPARQL engine is finished, we must evaluate its > performance. > Some benchmarks that we could use: > * http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/ > * http://swat.cse.lehigh.edu/projects/lubm/ > * http://www.informatik.uni-freiburg.de/~mschmidt/docs/sp2b.pdf -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira