Reviewing the use of these two environments (Google Storage and Google Big Query) for data like that at http://sio7.jamstec.go.jp/j-cores.data/ and Janus. Would allow connection of this large scale data via Google Docs (Ref: http://code.google.com/apis/bigquery/docs/spreadsheet_appscript_tutorial.html).
There is some work on exposing Linked Data in RDF format (n triples) being done (Ref: http://code.google.com/p/bigquery-linkeddata/). However, I am not sure that this has much use for small graphs since operating on the model involves a SPARQL to BG SQL language conversion. However, when talking about many billions of triples there may be some value. I will want to follow this effort though, it's interesting.
- Extra Scalar elements: http://sio7.jamstec.go.jp/j-cores.data/extra-scalar/
- Example Data: http://sio7.jamstec.go.jp/j-cores.data/322/C0012A.2010-10-07/
A more recent development is Google's Megastore (Ref: http://www.cidrdb.org/cidr2011/Papers/CIDR11_Paper32.pdf (PDF)).