R. Tyler Ballance wrote: > On Wed, 26 May 2010, Kingsley Idehen wrote: > >>>> Sesame and Virtuoso aren't disjoint. >>>> >>>> You can use Sesame Frameworks atop Virtuoso's RDF DBMS (Quad Store). >>>> Ditto Jena and Redland >>>> >>> Yes I've looked at Virtuoso, I'm a little more keen on using my existing >>> data >>> storage (Postgres) instead of loading things into something entirely new. >>> I'm >>> looking to use RDFAlchemy, given my work is entirely in Python, so Sesame's >>> framework versus Jena (for example) is completely irrelevant to me. >>> >> Jena was mentioned to exemplify that fact that Virtuoso has many >> Data Providers. >> >>> Playing around with the openrdf workbench, I was able to load a set of >>> triplets >>> into a "native java store", >>> >>> I'm really looking for the path of least resistence to give me a fast and >>> RDFAlchemy or otherwise Python-safe way of working with DBPedia information >>> within my local >>> research cluster. >>> >> "path of least reistance" is a very subjective thing, and context dependent. >> >> Bottom line, just use whatever works best for you. >> > > The problems I'm having is besides sparse mailing list topics, there's not a > lot in the way of documentation on "getting started with dbpedia" at least for > running a local mirror. So I honestly don't know what works best for me, I > don't know what works at all! :( > > Some guidance on how to get going would be useful :) > > > Cheers, > -R. Tyler Ballance > -------------------------------------- > Jabber: [email protected] > GitHub: http://github.com/rtyler > Identica: http://identi.ca/dero > Twitter: http://twitter.com/agentdero > Blog: http://unethicalblogger.com > >
Here are some options re. DBpedia (assuming Virtuoso RDF Quad Store for data management): 1. http://www.openlinksw.com/dataspace/dav/wiki/Main/VirtAWSPublicDataSets -- use the pre-configured Amazon AMIs 2. http://virtuoso.openlinksw.com/dataspace/dav/wiki/Main/VirtBulkRDFLoaderExampleDbpedia -- if you have your local Virtuoso instance and want to load the DBpedia data sets yourself. -- Regards, Kingsley Idehen President & CEO OpenLink Software Web: http://www.openlinksw.com Weblog: http://www.openlinksw.com/blog/~kidehen Twitter/Identi.ca: kidehen ------------------------------------------------------------------------------ _______________________________________________ Dbpedia-discussion mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
