RE: Soft Landing
Hi Carol: As a taxonomist, you have insight into an issue on domain vocabularies. How is authority established? For example, one of the easiest ways to trick the web is to reuse a known term or acronym (eg, ASP) and redirect a lot of traffic based on that. Further, it is common for groups to create argots that reinforce their own peculiar agendas (See the American elections and the use of the word "liberal"). First, how do taxonomists handle the fuzzy terms? Anyone, in a system that automatically tries to create inter-domain associations, how would this be handled? Len Bullard Intergraph Public Safety email@example.com http://www.mp3.com/LenBullard Ekam sat.h, Vipraah bahudhaa vadanti. Daamyata. Datta. Dayadhvam.h -----Original Message----- From: Carol Ellerbeck [mailto:firstname.lastname@example.org] Sent: Tuesday, October 24, 2000 5:43 AM To: 'KenNorth'; Bullard, Claude L (Len) Cc: email@example.com Subject: RE: Soft Landing Ken, If you "were king of the world" with the idea you express below, you would not need "an unlimited budget"...just a modest one, to have experts build your taxonomy/domain vocabularies. I say this as a Taxonomist who has been in the vocabulary trenches with electronic information for years. Automation is wonderful (and I would say, even essential), but start with *NOT JUST* humans (albeit smart humans), start with humans who have some expertise, and you will accomplish your goal faster, with fewer people, more efficiently, and have a more solid foundation to build on....... Long live the king! C -----Original Message----- From: KenNorth [mailto:KenNorth@email.msn.com] Sent: Monday, October 23, 2000 9:44 PM To: Bullard, Claude L (Len) Cc: firstname.lastname@example.org Subject: Re: Soft Landing > > I always felt that feeding them > > automagically from services such as full-text > > indexing and analysis was dicey. If you > > use semantic nets to create semantic nets, it > > is a bit like using an a-bomb to detonate > > an h-bomb. If I were king of the world, with unlimited budget and unlimited cooperation, I'd start with a taxonomy and domain experts. Let them define a domain vocabulary (again I keep pointing to MeSH for medical literature). Then, when new literature is published each month, run it through machine analysis to identify new terms that start popping up in the literature (e.g., XML a few years ago). Also identify relationships to existing concepts or terms (similarity searches), and so on. The domain experts identify an alert level (e.g., 5 citations) and when a term or concept exceeds that level, it's included in a monthly update they receive -- new terms and concepts in the literature. They use that information when updating domain vocabularies on a quarterly basis. Using a pre-defined domain vocabulary is probably more efficient than doing it all automagically using inference engines, machine analysis of schemas, RDF, parsing and so on. Look at the portals that migrated to a classification scheme, instead of being simply keyword container searches.
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