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

From: Rafael Richards <rmrich5@gmail.com>
Date: Wed, 16 Jan 2013 20:12:49 -0500
Message-ID: <CAOVDmtvJ2TA7B9jK8duAV7=Sv05E+ObaabW1cRVrKKSTmCsJ-w@mail.gmail.com>
To: David Booth <david@dbooth.org>
Cc: meadch@mail.nih.gov, Peter.Hendler@kp.org, Conor Dowling <conor-dowling@caregraf.com>, d.rebholz.schuhmann@gmail.com, jluciano@gmail.com, Michel Dumontier <michel.dumontier@gmail.com>, public-semweb-lifesci@w3.org, ri@semanticidentity.com, tfmorris@gmail.com
Yesterday Facebook announced a new feature called Graph Search.  This Graph
includes 1 billion people,  240 billion photos, and over 1 trillion

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.


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.


There is also work done on a natural language query interface for RDF using
Cyc as the foundation ontology.

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 Richards MD MS
Received on Thursday, 17 January 2013 03:24:25 UTC

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