The Semantic Web, syllogism, and worldview. (2003)

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The Semantic Web, Syllogism, and Worldview - Clay Shirky

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The Semantic Web overestimates the value of deductive logic, and underestimates the difficulty of shared worldview.

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First published November 7, 2003 on the "Networks, Economics, and Culture" mailing list.

The W3C’s Semantic Web project has been described in many ways over the last few years: an extension of the current web in which information is given well-defined meaning, a place where machines can analyze all the data on the Web, even a Web in which machine reasoning will be ubiquitous and devastatingly powerful. The problem with descriptions this general, however, is that they don’t answer the obvious question: What is the Semantic Web good for?

The simple answer is this: The Semantic Web is a machine for creating syllogisms. A syllogism is a form of logic, first described by Aristotle, where "…certain things being stated, something other than what is stated follows of necessity from their being so." [Organon]

The canonical syllogism is:

Humans are mortal<br>Greeks are human<br>Therefore, Greeks are mortal

with the third statement derived from the previous two.

The Semantic Web is made up of assertions, e.g. "The creator of shirky.com is Clay Shirky." Given the two statements

– Clay Shirky is the creator of shirky.com<br>– The creator of shirky.com lives in Brooklyn

you can conclude that I live in Brooklyn, something you couldn’t know from either statement on its own. From there, other expressions that include Clay Shirky, shirky.com, or Brooklyn can be further coupled.

The Semantic Web specifies ways of exposing these kinds of assertions on the Web, so that third parties can combine them to discover things that are true but not specified directly. This is the promise of the Semantic Web — it will improve all the areas of your life where you currently use syllogisms.

Which is to say, almost nowhere.Syllogisms are Not Very Useful #

Though the syllogism has been around since Aristotle, it reached its apotheosis in the 19th century, in the work of Charles Dodgson (better known as Lewis Carroll.) Dodgson wrote two books of syllogisms and methods for representing them in graphic form, and his syllogisms often took the form of sorites, where the conclusion from one pair of linked assertions becomes a new assertion to be linked to others.

One of Dodgson’s sorites goes:

– Remedies for bleeding, which fail to check it, are a mockery<br>– Tincture of Calendula is not to be despised<br>– Remedies, which will check the bleeding when you cut your finger, are useful<br>– All mock remedies for bleeding are despicable

which lets you conclude that Tincture of Calendula will check the bleeding when you cut your finger.

Despite their appealing simplicity, syllogisms don’t work well in the real world, because most of the data we use is not amenable to such effortless recombination. As a result, the Semantic Web will not be very useful either.

The people working on the Semantic Web greatly overestimate the value of deductive reasoning (a persistent theme in Artificial Intelligence projects generally.) The great popularizer of this error was Arthur Conan Doyle, whose Sherlock Holmes stories have done more damage to people’s understanding of human intelligence than anyone other than Rene Descartes. Doyle has convinced generations of readers that what seriously smart people do when they think is to arrive at inevitable conclusions by linking antecedent facts. As Holmes famously put it "when you have eliminated the impossible, whatever remains, however improbable, must be the truth."

This sentiment is attractive precisely because it describes a world simpler than our own. In the real world, we are usually operating with partial, inconclusive or context-sensitive information. When we have to make a decision based on this information, we guess, extrapolate, intuit, we do what we did last time, we do what we think our friends would do or what Jesus or Joan Jett would have done, we do all of those things and more, but we almost never use actual deductive logic.

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