Virtuoso, I’m using the LOD Cloud Cache [1] as a sample of the LOD Cloud, and wanted to make sure that I was using it to its full potential. Thanks for such a useful resource. Could you comment on the following?
A) What portion of Linked Data is in the cache? i.e., what methodology is used to load data into the cache? Does it use crawls, load data dumps, use specific seed URIs or datasets? Do the lists at http://datahub.io/group/lodcloud or http://datahub.io/dataset?tags=lod influence the loads? Unfortunately, http://lod.openlinksw.com/facet_doc.html mentions http://lod.openlinksw.com/void/Dataset, but that 404s. B) How often is new Linked Data added to the cache? C) Is the default graph the only graph that one needs to query to “query all of it”? i.e., Can you verify http://lod.openlinksw.com/sparql's claim that: <http://lod2.openlinksw.com/sparql> sd:feature <http://www.w3.org/ns/sparql-service-description#UnionDefaultGraph> (and, what’s the difference between http://lod.openlinksw.com/sparql and http://lod2.openlinksw.com/sparql?) D) Is the following query an appropriate way to find out how many foaf:Person instances are in the cache? I get 141,721,466 people. select count(?s) where {?s a <http://xmlns.com/foaf/0.1/Person>} E) Is the following query an appropriate way to find out how many instances foaf:knows another? I get 84 “knowers”. select count(distinct ?s) where {?s <http://xmlns.com/foaf/0.1/knows> []} Thanks so much for your time. Regards, Tim [1] http://lists.w3.org/Archives/Public/public-lod/2013May/0154.html ------------------------------------------------------------------------------ Managing the Performance of Cloud-Based Applications Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. Read the Whitepaper. http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk _______________________________________________ Virtuoso-users mailing list Virtuoso-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/virtuoso-users