On Tue, Mar 16, 2010 at 10:02 AM, Marvin Humphrey <[email protected]> wrote: > > Even very slow ones, eh? How about one that requires gobs of RAM?
sure, i mean just thinking the algorithm could be prototyped first, then made fast? > > This idea actually came out of a conversation I had with someone at an San > Diego Ruby Users meeting who used to work on the OpenCyc classification > engine. From what I understand, the Cyc project is an AI project that sits on > top of a kind of Yahoo directory or DMOZ for words. Apparently it has a Java > API and requires several GB of RAM to load. > > http://www.cyc.com/cyc/opencyc > http://en.wikipedia.org/wiki/Cyc > > His suggestion was to use OpenCyc to classify terms. > > That's similar to what we'd do with topic vectors generated by an indexing > component, except that the Cyc topic vectors were built laboriously by hand > rather than using automatic dimension reduction. at a quick glance, sounds possibly similar to http://www.unc.edu/~jaguera/query-expansion/ (except it uses wordnet instead) -- Robert Muir [email protected]
