title: Cross-platform method for loading large RDF into triple stores
body: <p>Currently, we're using Virtuoso to store RDF triples. We want an automated way to load RDF files to the database. The data can be very large, so currently we are relying on the Virtuoso <a href="http://www.openlinksw.com/dataspace/dav/wiki/Main/VirtBulkRDFLoader" rel="nofollow">bulk data loader</a> to load the data; however, it's possible that in the future we will switch to some other triple store, so I don't want to be dependent on a platform-specific solution like this. Is there a more general, cross-platform way of loading large RDF files into triple stores?</p>
  
  <p>Most of our programming is done in Python, so a solution with Python bindings would be preferable.</p>
  
  <p>I'm pretty new with semantic web technologies so please let me know if my question isn't detailed enough and I'll try to provide more information. Thank you!</p>