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 _____________________ Rafael Richards MD MS