Maestro is an online reasoning engine that seeks to be a test of how to aggregate and search across RDF/FoaF ontologies using the resources of Google and the functional capabilities of the Python programming language. Due to the fact that parsing large amounts of RDF data in triple stores is a complicated and resource intensive process - it may be possible to leverage the resources of the Google AppEngine environment, particularly its scalability in relation to the DataStore API, may yield the ability to parse and retain these large RDF triple stores to create a unique experience with very little resources.
When there is enough for developer participation, I'll update this page. Right now it's a matter of shoehorning python code in to App Engine and seeing if it works. If you are a semantic researcher, know your way around sorting algorithms or are just bored, feel free to shout out to me at brandonwerner@acm.org or join the research group below.