Looks like Egon updated his rrdf library (an RDF library for R) to 1.2, which now includes remote sparql queries and constructs. Pretty neat!  I’ve been meaning to get into R, and keep getting pulled away by other shiny things.  For example, my employer got me into a Cloudera class this week to get all MapReducey.  Lots of fun, but I really have to put my head down and learn that damned language, even with its lack of parentheses.

Speaking of MapReduce, I wonder if there’s a good SPARQL/RDF library out there to support MapReduce jobs.  I’d think you’d want code that was optimized for queries against graphs that take up either 64MB or 128MB (the two most common block sizes).  I’m guessing that a fact in an N-TRIPLES file takes 1/10KB, so the graphs would have either 640,000 or a bit over 1.2 million facts in them… that’s a pretty healthy volume of information, but we’re not talking DBpedia-sized here.

Finally, my search for mathematical podcasts is finally turning up fruit – looks like Sam Hansen at ACME Science has a slew of podcasts right up this alley.  Hell, his most recent podcast is an interview with John Cook (of The Endeavor fame).  In fact, he’s got a new one in the works that looks to be focused on stories in the world of mathematicians – if you’re curious, check out http://bit.ly/relprime.

More than finally, this is my first post on a linux box.  I took the plunge dipped my toes in the Linux waters by installing an Ubuntu partition on my laptop with Wubi.  There’s been a few hiccups so far with learning about file permissions and tar files, but I managed to run the seabass tests successfully, so I’m in a good place.