Remember the WebPIE infrence engine? WebPIE is the first inference engine that can do inference over 100billion(!) triples, and that can compute the full OWL Horst closure of Uniprot (1billion triples) in just over 6 hours?

Of course, the catch was that you needed to run Hadoop on a 32 machine compute cluster to do this at home….

But now, the LarKC team behind the WebPIE engine (VU Amsterdam PhD student Jacopo Urbani, and postdoc Spyros Kotoulas) have made the entire WebPIE infrastructure available on Amazon’s Elastic Compute Cloud. The AWS image has the reasoner preinstalled so that you can perform inferences on your own datasets with almost no effort. All you need is a credit card to pay the bill!

The homepage of WebPie contains detailed instructions on how to deploy your own Amazon reasoner on your own RDF graph (up to OWL Horst expressivity).

At the current pricing of Amazon, you can perform a whole lot of inferencing for a couple of hundred bucks (and often much less). LarKC hopes that this will bring very large scale inferencing withing reach of anybody who’s interested.

Tags: Amazon Elastic Compute Cloud, hadoop

This entry was posted on Wednesday, May 19th, 2010 at 8:13 pm and is filed under Commodity Resources, HPC, Cloud Computing, Semantic Infrastructure. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.