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7/31/2002 4:14:48 AM, "bryan" <bry@i...> wrote: > > we know that google determines result-position by linkage(with >certain types of linkers being given preference - bloggers for example) >and that they also attempt to weed-out people attempting to influence >the results by various unfair or data-skewing methods. Do they explicitly favor bloggers, or are bloggers' opinions rewarded because they are prolifigate cross-linkers and update frequently, forming the kinds of networks that Google looks for? >Basically it seems to me that way Google has approached the web is as a >giant problem in Bayesian Analysis, and that this method has been >relatively successful(at least more successful than other methods have >been). Hmmm ... then maybe ontologies could help seed the process with "prior probabilities" or something? Or maybe, let people specify somehow that the search should be constrained by the sense that words are used in some vocabulary/ontology , i.e., if I'm looking for information about "madonna" I mean the religious personage rather than the pop singer, so I somehow tell Google to use the "christianity" vocabulary rather then the "pop culture" vocabulary. Does Google use its human-built Directory structure (which is sortof an "ontology") in its "free form" searches, or are these separate? I should get back to work, sigh, but this subject fascinates me. I heard about SNOMED and the questions that healthcare professionals would like to use it to answer a couple of years ago. I'd been thinking of it as a database query problem ... sortof a join of the clinical data with the vocabulary data. Jonathan Borden has helped me see that this could also be seen as a "semantic web", and this thread has made it clear that the question of how to combine vocabulary/taxonomy/ontology information to inform web searches or XML queries is wide open for R&D.
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