- From: Bhat, Talapady N. <talapady.bhat@nist.gov>
- Date: Thu, 17 Jan 2013 09:56:08 -0500
- To: Kingsley Idehen <kidehen@openlinksw.com>, "public-semweb-lifesci@w3.org" <public-semweb-lifesci@w3.org>
- CC: "Bhat, Talapady N." <talapady.bhat@nist.gov>
Hi,
All these are good news. But one of the important stuff, as far as I know still to be addressed is, are all the graphs produced by RDF graph generator are meaningful for a use-case. In other words, do we have methods to ensure that the elements (subject, object, predicates) of an RDF trillion store are of the quality to produce meaningful results in such an automated process of building graphs? Until that is done for specific area of our research, all these advances are hypothetical
T N Bhat
-----Original Message-----
From: Kingsley Idehen [mailto:kidehen@openlinksw.com]
Sent: Thursday, January 17, 2013 9:38 AM
To: public-semweb-lifesci@w3.org
Subject: Re: Facebook's new Graph Search: An endorsement of the RDF approach to healthcare data?
On 1/16/13 8:12 PM, Rafael Richards wrote:
> 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
Rafael,
Also note that there is a live 55 Billion+ triples instance of the LOD
Cloud cache that showcases what's always been possible re. Linked Data,
RDF, and machine readable Entity Relationship Semantics.
Links:
1. http://lod2.openlinksw.com -- live instance
2. http://bit.ly/11ezuCz -- detailed instance report covering loading
and some simple analytics
3. http://bit.ly/W8MYMj -- Uniprot citations overview
4. http://bit.ly/13HGvwX -- Bio2RDF entities associated with Genetic
Dissorders
5. http://bit.ly/101tE55 -- Biopax data sources by collective attributes .
--
Regards,
Kingsley Idehen
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
Personal Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca handle: @kidehen
Google+ Profile: https://plus.google.com/112399767740508618350/about
LinkedIn Profile: http://www.linkedin.com/in/kidehen
Received on Thursday, 17 January 2013 14:56:36 UTC