LOD Cloud Cache Stats

All,

I've knocked up a Google spreadsheet that contains stats about our 21 
Billion Triples+ LOD cloud cache.

On the issue of Triple Counts, you can't make sense of Data if you can't 
count it. We can't depend on SPARQL-FED for distributed queries, and we 
absolutely cannot depend on a Web crawl via follow-your-nose pattern 
when seeking insights or answers to queries across massive volumes of data.

The whole BigData game is a huge opportunity for Linked Data and 
Semantics to finally shine. By shine I mean: show what was erstwhile 
impossible.

Exhibit #1 -- how do we Find the proverbial needle in a haystack via 
ad-hoc queries at Web Scale?

Exhibit #2 -- how do we leverage faceted exploration and navigation of 
massive data sets at Web Scale?

Exhibit #3 -- how do we perform ad-hoc declarative queries (Join and 
Aggregates variety) that used to be confined to a local Oracle, SQL 
Server, DB2, Informix, MySQL etc.., at Web Scales esp. if the Web is now 
a Global Linked Data Space?

I've issued a challenge to all BigData players to show me a public 
endpoint that allows me to perform any of the tasks above. Thus far, the 
silence has been predictably deafening :-)

Links:

1. 
https://spreadsheets.google.com/ccc?key=0AihbIyhlsQSxdHViMFdIYWZxWE85enNkRHJwZXV4cXc&hl=en 
-- LOD Cloud Cache SPARQL stats queries and results

-- 

Regards,

Kingsley Idehen	
President&  CEO
OpenLink Software
Web: http://www.openlinksw.com
Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca: kidehen

Received on Saturday, 2 April 2011 21:55:49 UTC