Posts Tagged ‘Bryan Thompson’

Summary of 11th International Semantic Web Conference

Big Graph Data Panel at ISWC 2012

Big Graph Data Panelists (L to R): Mike Stonebraker, John Giannandrea, Bryan Thompson, Tim Berners- Lee, Frank van Harmelen

Last week, the 11th International Semantic Web Conference (ISWC 2012) took place in Boston. It was an exciting week to learn about the advances of the Semantic Web and current applications.

The first two days, Sunday November 11 and Monday November 12, consisted of 18 workshops and 8 tutorials. The following three days (Tuesday November 13 – Thursday November 15) consisted of keynotes, presentation of academic and in-use papers, the Big Graph Data Panel and industry presentations. It is basically impossible to attend all the interesting presentations. Therefore, I am going to try my best to summarize and offer links to everything that I can.

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Bigdata® is Breaking Down Barriers in Semantic Web Database Size and Throughput

SAN JOSE, CA, June 17, 2009 – SYSTAP, LLC, a boutique software consultancy, announced today that its open-source, distributed RDF database “bigdata®” has broken through significant barriers in semantic web database size and throughput, loading 12.7 Billion RDF statements with peak load rates of up to 300,000 statements per second and sub-second query times. This is the highest throughput rate reported so far anywhere in the world.

“We are very excited about the results we are seeing” says Mike Personick, SYSTAP principal and co-architect of bigdata®. “We are consistently seeing test runs of over 10 Billion statements, and we are just now starting to see throughput rates that get us to 1 Billion statements in under one hour. You cannot touch performance like that on a single machine for anything near the same cost. Commodity hardware is cheap and scale-out approaches let you make the most of it.”

Bryan Thompson, the lead architect of bigdata®, has been testing and tuning the RDF database on a 15-blade commodity cluster since early January. “Theoretical scaling limits are meaningless,” says Thompson, “Until you run the numbers you can’t be certain how a database will react to very big data sets.”

RDF is a Semantic Web technology and W3C standard for encoding knowledge into statements or “triples”. Personick: “RDF databases are ideally suited to on-demand federation and semantic alignment of heterogeneous data sets in a world with no universal schema. What makes these results so exciting is that our customers can now tackle these sorts of problems at very large scale.” Mr. Personick will be speaking about bigdata® at SemTech 2009 in San Jose, CA.