RE: More on Vector Models
It's a service. Given language variants and use of apriori knowledge about the event, a VSM engine works for any lump of text you give it. Then you leverage what the relational DB knows about the metadata. VSM is yet another means to sort a bag of words and determine its relevance to other things in the space. Because every enterprise has lots of word bags, it is a trick worth knowing and it isn't hard to implement, so if Bill's Guys or Jonathan's Guys or Your Guys want to build one and use it, it's doable, not exotic. I'll bet Tim Bray can knock it out in an afternoon and put it on his Atom feeds the next day, then put a page on his server for searching his blogs all working inside a week or less. Heck, there is a PERL script out there to do it for free. VSM comes under the heading of stupid pet tricks that work remarkably well. Old tech, yes, but again, that's a good thing. If you want the bleeding edge, you move on to quantum logic systems which have a lot of promise but likely require quantum computers (from what I read but I am no expert). What I can say is that when the hardware is ready, the mathematicians are already there. len From: David Lyon [mailto:david.lyon@c...] Of course, xml needs a good classification system to be truly effective in a business context. but I guess as Ken says, it's all wrapped into the operating system these days. (Pity though it is an undocumented feature)
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