New Company Seeks to Bring Semantic Context To Numbers
A new company, True#, is seeking to bring extensive semantic context to numbers to give them obvious meanings just as certain words have obvious meanings to most readers. "Most of us can probably recognize 3.14159 and the conceptual baggage it carries, but how many of us would recognize 58.44? (That's a mole of sodium chloride, in grams, for the curious.) And the response that would work for words — look it up — doesn't work so conveniently for numbers. Only one of the top-10 hits in Google refers to salt, and Bing fails entirely (though it does offer 'Women's Sexy Mini Skirts by VENUS'). Clearly, we haven't figured out how to make the Web work for numbers in the same way it does for words."
In all seriousness - this is not a rhetorical question. Usually I want this information in the inverse order, not just having a number with no context. What is the value in searching in that direction is their some widespread need I don't know about?
It's hard to believe that's how Micronians are made. Why don't we see it right now by having you both kiss one another?
So, a search doesn't bring up what one person would expect and that means the search engine failed? Sometimes the problem with logical fallacies is that they are so big as to defy categorization.
See my journal for slashdot ID's by year. Mine created in 2005. http://slashdot.org/journal/289875/slashdot-ids-by-year
Sounds like a solution looking for a problem.
http://en.wikipedia.org/wiki/Jury_nullification
Why in the hell would I want to search for a number with no context? Who thinks that way? Everyone remembers the concept, not the number.
You say "3.14" and people know it as pi. But if you said "pi," people would say "3.14." This example is only interesting because it's widespread.
Nobody would start with "58.44" and say "Hmmm, what does that symbolize?" No. They need to know the molecular weight of sodium chloride, and so they'll search Google for "molecular weight sodium chloride" and turn up the number 58.44. We're not computers, we know semantic context, and need numbers. Not the other way around.
Though I guess this sort of thing might be useful for some sort of numerical AI, who has numbers but no semantic context. Time to don the tinfoil hats, fellows.