Paul Houle wrote: > Personally I like having a local copy of dbpedia; there are > operations that I like to do (temporary closed world assumption, etc.) > that are much more reliably done when you've got a local copy. The fact > is that there are many kinds of funkiness in dbpedia, including data > holes, key integrity issues and so forth that you'll never see if you > use the SPARQL endpoint and that I wouldn't have discovered if I hadn't > built a specialized system to efficiently represent dbpedia and freebase > that enforces tougher integrity constraints than a conventional RDF stores. > > ------------------------------------------------------------------------------ > 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 > > Paul,
Will you share you cleansed DBpedia & Freebase data set at some point? If it constitutes a linkbase with a specific "world view" we can stick the data in its own name graph etc.. This is how we've handled this in the past re. DBpedia[1] and the LOD Cloud Cache[2] Instances we host. Links: 1. http://dbpedia.org/fct 2. http://lod.openlinksw.com/fct Either of the interfaces above will enable you see the effects of partitioning data by named graph via holistic views (put in a URI or Text Patter, Find what you want via Type or Property pivots, get Description, and then look at "Usage" links). -- Regards, Kingsley Idehen President & CEO OpenLink Software Web: http://www.openlinksw.com Weblog: http://www.openlinksw.com/blog/~kidehen Twitter/Identi.ca: kidehen ------------------------------------------------------------------------------ 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
