Hello, I'm assuming you are doing 30k SPARQL queries also. So let's say you have a network latency of 100ms, that would be almost an hour just for the network. One more reason to do it locally.
The plain datasets can be downloaded at: http://wiki.dbpedia.org/Downloads34 Or you can use the links given below. Regards, Sebastian Kingsley Idehen schrieb: > Johannes Wehner wrote: > >> Hi All >> >> I've got about 30k terms that I wanna get dbpedia, da.wikipedia.org and >> en.wikipedia.org URI's for. >> >> Right now I'm doing this sparql against dbpedia.org/sparql : >> >> prefix foaf: <http://xmlns.com/foaf/0.1/> >> prefix vcard: <http://www.w3.org/2001/vcard-rdf/3.0#> >> SELECT * >> WHERE { >> $uri ?p ?s >> FILTER ( >> (?p = rdfs:label && ?s = 'Johannes Wehner'@da) || >> (?p = rdfs:label && ?s = 'Johannes Wehner'@en) || >> (?p = foaf:name && ?s = 'Johannes Wehner') || >> (?p = vcard:FN && ?s = 'Johannes Wehner'@en) >> ) >> } >> >> I get it in xml-format and i parse it. It sorta works, but it takes >> forever. What should I do? Should do it locally? Or can I speed it in >> another way? >> >> Besides time a big concern is danish results. I've tried using >> http://dbpedia-live.openlinksw.com/sparql , but it times out on me. Let me >> know if you have any ideas on that as well. >> >> Have a nice friday! >> >> > DBpedia is when all is said an done a database, one that is uniquely > open to the entire world to access. Without any sense of self protection > the entire endeavor would be impractial. > > There are deliberate controls in place on the Virtuoso backend that > ensure the engine is protected accordingly. > > Please use LIMIT and OFFSET to build data windows that work within the > parameters of the server side protections. > > Of course you can also install and load a local version of Virtuoso [1] > or simply instantiate an Amazon EC2 cloud AMI [2]. > > Links: > > 1. http://virtuoso.openlinksw.com/dataspace/dav/wiki/Main/ > > 2. > http://virtuoso.openlinksw.com/dataspace/dav/wiki/Main/VirtAWSPublicDataSets > -- pre-configured and pre-loaded Virtuoso + DBpedia 3.4 > > > Kingsley > > >> Best, >> /Johs. >> >> >> ------------------------------------------------------------------------------ >> Download Intel® Parallel Studio Eval >> Try the new software tools for yourself. Speed compiling, find bugs >> proactively, and fine-tune applications for parallel performance. >> See why Intel Parallel Studio got high marks during beta. >> http://p.sf.net/sfu/intel-sw-dev >> _______________________________________________ >> Dbpedia-discussion mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion >> >> >> > > > -- Dipl. Inf. Sebastian Hellmann Department of Computer Science, University of Leipzig Homepage: http://bis.informatik.uni-leipzig.de/SebastianHellmann Research Group: http://aksw.org ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Dbpedia-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
