Facebook's new Graph Search: An endorsement of the RDF approach to healthcare data?

Yesterday Facebook announced a new feature called Graph Search.  This Graph
includes 1 billion people,  240 billion photos, and over 1 trillion
connections.

Graph search is privacy aware:  every piece of content has its own
specified audience. Most content is not public; you can only search for
content that has been shared with you.

http://readwrite.com/2013/01/15/facebook-graph-search
https://newsroom.fb.com/News/562/Introducing-Graph-Search-Beta
https://newsroom.fb.com/Photos-and-B-Roll/4321/Graph-Search-Announcment


RDF data stores are also currently capable of  loading a trillion triples
("connections"), and we have hardware such as the Cray  purpose built for
graph analytics.

http://www.franz.com/about/press_room/trillion-triples.lhtml
http://www.cray.com/Products/BigData/uRiKA.aspx
http://investors.cray.com/phoenix.zhtml?ID=1766098&c=98390&p=irol-newsArticle


There is also work done on a natural language query interface for RDF using
Cyc as the foundation ontology.
http://www.w3.org/2001/sw/sweo/public/UseCases/ClevelandClinic/#figure3

While not a "success story" of RDF per se,  Graph Search (if anyone knows
what its actual technology is)  may be at least an endorsement of the
RDF-like approach to managing, repurposing, and securing data.

Is there any reason to believe that an RDF-based system could not also:
1. Enable similar storage and query as Graph Search?
2. Provide similar data-atomic granular control of privacy of (personal or
healthcare) data similar to that of Graph Search?


Rafael


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Rafael Richards MD MS